In [1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import operator
import csv
import seaborn as sns
from pandas.plotting import register_matplotlib_converters
from sklearn.impute import SimpleImputer

%matplotlib inline
import ipynb.fs.defs.functions as func
In [2]:
CORRELATION_THRESHOLD = 0.6
register_matplotlib_converters()
pd.set_option('display.max_columns', 500)
pd.set_option('display.width', 1000)
In [3]:
data = pd.read_csv('pd_speech_features.csv', sep=",", decimal='.', header=[0,1])
data.head(5)
Out[3]:
Unnamed: 0_level_0 Unnamed: 1_level_0 Baseline Features Unnamed: 3_level_0 Unnamed: 4_level_0 Unnamed: 5_level_0 Unnamed: 6_level_0 Unnamed: 7_level_0 Unnamed: 8_level_0 Unnamed: 9_level_0 Unnamed: 10_level_0 Unnamed: 11_level_0 Unnamed: 12_level_0 Unnamed: 13_level_0 Unnamed: 14_level_0 Unnamed: 15_level_0 Unnamed: 16_level_0 Unnamed: 17_level_0 Unnamed: 18_level_0 Unnamed: 19_level_0 Unnamed: 20_level_0 Unnamed: 21_level_0 Unnamed: 22_level_0 Intensity Parameters Unnamed: 24_level_0 Unnamed: 25_level_0 Formant Frequencies Unnamed: 27_level_0 Unnamed: 28_level_0 Unnamed: 29_level_0 Bandwidth Parameters Unnamed: 31_level_0 Unnamed: 32_level_0 Unnamed: 33_level_0 Vocal Fold Unnamed: 35_level_0 Unnamed: 36_level_0 Unnamed: 37_level_0 Unnamed: 38_level_0 Unnamed: 39_level_0 Unnamed: 40_level_0 Unnamed: 41_level_0 Unnamed: 42_level_0 Unnamed: 43_level_0 Unnamed: 44_level_0 Unnamed: 45_level_0 Unnamed: 46_level_0 Unnamed: 47_level_0 Unnamed: 48_level_0 Unnamed: 49_level_0 Unnamed: 50_level_0 Unnamed: 51_level_0 Unnamed: 52_level_0 Unnamed: 53_level_0 Unnamed: 54_level_0 Unnamed: 55_level_0 MFCC Unnamed: 57_level_0 Unnamed: 58_level_0 Unnamed: 59_level_0 Unnamed: 60_level_0 Unnamed: 61_level_0 Unnamed: 62_level_0 Unnamed: 63_level_0 Unnamed: 64_level_0 Unnamed: 65_level_0 Unnamed: 66_level_0 Unnamed: 67_level_0 Unnamed: 68_level_0 Unnamed: 69_level_0 Unnamed: 70_level_0 Unnamed: 71_level_0 Unnamed: 72_level_0 Unnamed: 73_level_0 Unnamed: 74_level_0 Unnamed: 75_level_0 Unnamed: 76_level_0 Unnamed: 77_level_0 Unnamed: 78_level_0 Unnamed: 79_level_0 Unnamed: 80_level_0 Unnamed: 81_level_0 Unnamed: 82_level_0 Unnamed: 83_level_0 Unnamed: 84_level_0 Unnamed: 85_level_0 Unnamed: 86_level_0 Unnamed: 87_level_0 Unnamed: 88_level_0 Unnamed: 89_level_0 Unnamed: 90_level_0 Unnamed: 91_level_0 Unnamed: 92_level_0 Unnamed: 93_level_0 Unnamed: 94_level_0 Unnamed: 95_level_0 Unnamed: 96_level_0 Unnamed: 97_level_0 Unnamed: 98_level_0 Unnamed: 99_level_0 Unnamed: 100_level_0 Unnamed: 101_level_0 Unnamed: 102_level_0 Unnamed: 103_level_0 Unnamed: 104_level_0 Unnamed: 105_level_0 Unnamed: 106_level_0 Unnamed: 107_level_0 Unnamed: 108_level_0 Unnamed: 109_level_0 Unnamed: 110_level_0 Unnamed: 111_level_0 Unnamed: 112_level_0 Unnamed: 113_level_0 Unnamed: 114_level_0 Unnamed: 115_level_0 Unnamed: 116_level_0 Unnamed: 117_level_0 Unnamed: 118_level_0 Unnamed: 119_level_0 Unnamed: 120_level_0 Unnamed: 121_level_0 Unnamed: 122_level_0 Unnamed: 123_level_0 Unnamed: 124_level_0 Unnamed: 125_level_0 Unnamed: 126_level_0 Unnamed: 127_level_0 Unnamed: 128_level_0 Unnamed: 129_level_0 Unnamed: 130_level_0 Unnamed: 131_level_0 Unnamed: 132_level_0 Unnamed: 133_level_0 Unnamed: 134_level_0 Unnamed: 135_level_0 Unnamed: 136_level_0 Unnamed: 137_level_0 Unnamed: 138_level_0 Unnamed: 139_level_0 Wavelet Features Unnamed: 141_level_0 Unnamed: 142_level_0 Unnamed: 143_level_0 Unnamed: 144_level_0 Unnamed: 145_level_0 Unnamed: 146_level_0 Unnamed: 147_level_0 Unnamed: 148_level_0 Unnamed: 149_level_0 Unnamed: 150_level_0 Unnamed: 151_level_0 Unnamed: 152_level_0 Unnamed: 153_level_0 Unnamed: 154_level_0 Unnamed: 155_level_0 Unnamed: 156_level_0 Unnamed: 157_level_0 Unnamed: 158_level_0 Unnamed: 159_level_0 Unnamed: 160_level_0 Unnamed: 161_level_0 Unnamed: 162_level_0 Unnamed: 163_level_0 Unnamed: 164_level_0 Unnamed: 165_level_0 Unnamed: 166_level_0 Unnamed: 167_level_0 Unnamed: 168_level_0 Unnamed: 169_level_0 Unnamed: 170_level_0 Unnamed: 171_level_0 Unnamed: 172_level_0 Unnamed: 173_level_0 Unnamed: 174_level_0 Unnamed: 175_level_0 Unnamed: 176_level_0 Unnamed: 177_level_0 Unnamed: 178_level_0 Unnamed: 179_level_0 Unnamed: 180_level_0 Unnamed: 181_level_0 Unnamed: 182_level_0 Unnamed: 183_level_0 Unnamed: 184_level_0 Unnamed: 185_level_0 Unnamed: 186_level_0 Unnamed: 187_level_0 Unnamed: 188_level_0 Unnamed: 189_level_0 Unnamed: 190_level_0 Unnamed: 191_level_0 Unnamed: 192_level_0 Unnamed: 193_level_0 Unnamed: 194_level_0 Unnamed: 195_level_0 Unnamed: 196_level_0 Unnamed: 197_level_0 Unnamed: 198_level_0 Unnamed: 199_level_0 Unnamed: 200_level_0 Unnamed: 201_level_0 Unnamed: 202_level_0 Unnamed: 203_level_0 Unnamed: 204_level_0 Unnamed: 205_level_0 Unnamed: 206_level_0 Unnamed: 207_level_0 Unnamed: 208_level_0 Unnamed: 209_level_0 Unnamed: 210_level_0 Unnamed: 211_level_0 Unnamed: 212_level_0 Unnamed: 213_level_0 Unnamed: 214_level_0 Unnamed: 215_level_0 Unnamed: 216_level_0 Unnamed: 217_level_0 Unnamed: 218_level_0 Unnamed: 219_level_0 Unnamed: 220_level_0 Unnamed: 221_level_0 Unnamed: 222_level_0 Unnamed: 223_level_0 Unnamed: 224_level_0 Unnamed: 225_level_0 Unnamed: 226_level_0 Unnamed: 227_level_0 Unnamed: 228_level_0 Unnamed: 229_level_0 Unnamed: 230_level_0 Unnamed: 231_level_0 Unnamed: 232_level_0 Unnamed: 233_level_0 Unnamed: 234_level_0 Unnamed: 235_level_0 Unnamed: 236_level_0 Unnamed: 237_level_0 Unnamed: 238_level_0 Unnamed: 239_level_0 Unnamed: 240_level_0 Unnamed: 241_level_0 Unnamed: 242_level_0 Unnamed: 243_level_0 Unnamed: 244_level_0 Unnamed: 245_level_0 Unnamed: 246_level_0 Unnamed: 247_level_0 Unnamed: 248_level_0 Unnamed: 249_level_0 ... Unnamed: 505_level_0 Unnamed: 506_level_0 Unnamed: 507_level_0 Unnamed: 508_level_0 Unnamed: 509_level_0 Unnamed: 510_level_0 Unnamed: 511_level_0 Unnamed: 512_level_0 Unnamed: 513_level_0 Unnamed: 514_level_0 Unnamed: 515_level_0 Unnamed: 516_level_0 Unnamed: 517_level_0 Unnamed: 518_level_0 Unnamed: 519_level_0 Unnamed: 520_level_0 Unnamed: 521_level_0 Unnamed: 522_level_0 Unnamed: 523_level_0 Unnamed: 524_level_0 Unnamed: 525_level_0 Unnamed: 526_level_0 Unnamed: 527_level_0 Unnamed: 528_level_0 Unnamed: 529_level_0 Unnamed: 530_level_0 Unnamed: 531_level_0 Unnamed: 532_level_0 Unnamed: 533_level_0 Unnamed: 534_level_0 Unnamed: 535_level_0 Unnamed: 536_level_0 Unnamed: 537_level_0 Unnamed: 538_level_0 Unnamed: 539_level_0 Unnamed: 540_level_0 Unnamed: 541_level_0 Unnamed: 542_level_0 Unnamed: 543_level_0 Unnamed: 544_level_0 Unnamed: 545_level_0 Unnamed: 546_level_0 Unnamed: 547_level_0 Unnamed: 548_level_0 Unnamed: 549_level_0 Unnamed: 550_level_0 Unnamed: 551_level_0 Unnamed: 552_level_0 Unnamed: 553_level_0 Unnamed: 554_level_0 Unnamed: 555_level_0 Unnamed: 556_level_0 Unnamed: 557_level_0 Unnamed: 558_level_0 Unnamed: 559_level_0 Unnamed: 560_level_0 Unnamed: 561_level_0 Unnamed: 562_level_0 Unnamed: 563_level_0 Unnamed: 564_level_0 Unnamed: 565_level_0 Unnamed: 566_level_0 Unnamed: 567_level_0 Unnamed: 568_level_0 Unnamed: 569_level_0 Unnamed: 570_level_0 Unnamed: 571_level_0 Unnamed: 572_level_0 Unnamed: 573_level_0 Unnamed: 574_level_0 Unnamed: 575_level_0 Unnamed: 576_level_0 Unnamed: 577_level_0 Unnamed: 578_level_0 Unnamed: 579_level_0 Unnamed: 580_level_0 Unnamed: 581_level_0 Unnamed: 582_level_0 Unnamed: 583_level_0 Unnamed: 584_level_0 Unnamed: 585_level_0 Unnamed: 586_level_0 Unnamed: 587_level_0 Unnamed: 588_level_0 Unnamed: 589_level_0 Unnamed: 590_level_0 Unnamed: 591_level_0 Unnamed: 592_level_0 Unnamed: 593_level_0 Unnamed: 594_level_0 Unnamed: 595_level_0 Unnamed: 596_level_0 Unnamed: 597_level_0 Unnamed: 598_level_0 Unnamed: 599_level_0 Unnamed: 600_level_0 Unnamed: 601_level_0 Unnamed: 602_level_0 Unnamed: 603_level_0 Unnamed: 604_level_0 Unnamed: 605_level_0 Unnamed: 606_level_0 Unnamed: 607_level_0 Unnamed: 608_level_0 Unnamed: 609_level_0 Unnamed: 610_level_0 Unnamed: 611_level_0 Unnamed: 612_level_0 Unnamed: 613_level_0 Unnamed: 614_level_0 Unnamed: 615_level_0 Unnamed: 616_level_0 Unnamed: 617_level_0 Unnamed: 618_level_0 Unnamed: 619_level_0 Unnamed: 620_level_0 Unnamed: 621_level_0 Unnamed: 622_level_0 Unnamed: 623_level_0 Unnamed: 624_level_0 Unnamed: 625_level_0 Unnamed: 626_level_0 Unnamed: 627_level_0 Unnamed: 628_level_0 Unnamed: 629_level_0 Unnamed: 630_level_0 Unnamed: 631_level_0 Unnamed: 632_level_0 Unnamed: 633_level_0 Unnamed: 634_level_0 Unnamed: 635_level_0 Unnamed: 636_level_0 Unnamed: 637_level_0 Unnamed: 638_level_0 Unnamed: 639_level_0 Unnamed: 640_level_0 Unnamed: 641_level_0 Unnamed: 642_level_0 Unnamed: 643_level_0 Unnamed: 644_level_0 Unnamed: 645_level_0 Unnamed: 646_level_0 Unnamed: 647_level_0 Unnamed: 648_level_0 Unnamed: 649_level_0 Unnamed: 650_level_0 Unnamed: 651_level_0 Unnamed: 652_level_0 Unnamed: 653_level_0 Unnamed: 654_level_0 Unnamed: 655_level_0 Unnamed: 656_level_0 Unnamed: 657_level_0 Unnamed: 658_level_0 Unnamed: 659_level_0 Unnamed: 660_level_0 Unnamed: 661_level_0 Unnamed: 662_level_0 Unnamed: 663_level_0 Unnamed: 664_level_0 Unnamed: 665_level_0 Unnamed: 666_level_0 Unnamed: 667_level_0 Unnamed: 668_level_0 Unnamed: 669_level_0 Unnamed: 670_level_0 Unnamed: 671_level_0 Unnamed: 672_level_0 Unnamed: 673_level_0 Unnamed: 674_level_0 Unnamed: 675_level_0 Unnamed: 676_level_0 Unnamed: 677_level_0 Unnamed: 678_level_0 Unnamed: 679_level_0 Unnamed: 680_level_0 Unnamed: 681_level_0 Unnamed: 682_level_0 Unnamed: 683_level_0 Unnamed: 684_level_0 Unnamed: 685_level_0 Unnamed: 686_level_0 Unnamed: 687_level_0 Unnamed: 688_level_0 Unnamed: 689_level_0 Unnamed: 690_level_0 Unnamed: 691_level_0 Unnamed: 692_level_0 Unnamed: 693_level_0 Unnamed: 694_level_0 Unnamed: 695_level_0 Unnamed: 696_level_0 Unnamed: 697_level_0 Unnamed: 698_level_0 Unnamed: 699_level_0 Unnamed: 700_level_0 Unnamed: 701_level_0 Unnamed: 702_level_0 Unnamed: 703_level_0 Unnamed: 704_level_0 Unnamed: 705_level_0 Unnamed: 706_level_0 Unnamed: 707_level_0 Unnamed: 708_level_0 Unnamed: 709_level_0 Unnamed: 710_level_0 Unnamed: 711_level_0 Unnamed: 712_level_0 Unnamed: 713_level_0 Unnamed: 714_level_0 Unnamed: 715_level_0 Unnamed: 716_level_0 Unnamed: 717_level_0 Unnamed: 718_level_0 Unnamed: 719_level_0 Unnamed: 720_level_0 Unnamed: 721_level_0 Unnamed: 722_level_0 Unnamed: 723_level_0 Unnamed: 724_level_0 Unnamed: 725_level_0 Unnamed: 726_level_0 Unnamed: 727_level_0 Unnamed: 728_level_0 Unnamed: 729_level_0 Unnamed: 730_level_0 Unnamed: 731_level_0 Unnamed: 732_level_0 Unnamed: 733_level_0 Unnamed: 734_level_0 Unnamed: 735_level_0 Unnamed: 736_level_0 Unnamed: 737_level_0 Unnamed: 738_level_0 Unnamed: 739_level_0 Unnamed: 740_level_0 Unnamed: 741_level_0 Unnamed: 742_level_0 Unnamed: 743_level_0 Unnamed: 744_level_0 Unnamed: 745_level_0 Unnamed: 746_level_0 Unnamed: 747_level_0 Unnamed: 748_level_0 Unnamed: 749_level_0 Unnamed: 750_level_0 Unnamed: 751_level_0 Unnamed: 752_level_0 Unnamed: 753_level_0 Unnamed: 754_level_0
id gender PPE DFA RPDE numPulses numPeriodsPulses meanPeriodPulses stdDevPeriodPulses locPctJitter locAbsJitter rapJitter ppq5Jitter ddpJitter locShimmer locDbShimmer apq3Shimmer apq5Shimmer apq11Shimmer ddaShimmer meanAutoCorrHarmonicity meanNoiseToHarmHarmonicity meanHarmToNoiseHarmonicity minIntensity maxIntensity meanIntensity f1 f2 f3 f4 b1 b2 b3 b4 GQ_prc5_95 GQ_std_cycle_open GQ_std_cycle_closed GNE_mean GNE_std GNE_SNR_TKEO GNE_SNR_SEO GNE_NSR_TKEO GNE_NSR_SEO VFER_mean VFER_std VFER_entropy VFER_SNR_TKEO VFER_SNR_SEO VFER_NSR_TKEO VFER_NSR_SEO IMF_SNR_SEO IMF_SNR_TKEO IMF_SNR_entropy IMF_NSR_SEO IMF_NSR_TKEO IMF_NSR_entropy mean_Log_energy mean_MFCC_0th_coef mean_MFCC_1st_coef mean_MFCC_2nd_coef mean_MFCC_3rd_coef mean_MFCC_4th_coef mean_MFCC_5th_coef mean_MFCC_6th_coef mean_MFCC_7th_coef mean_MFCC_8th_coef mean_MFCC_9th_coef mean_MFCC_10th_coef mean_MFCC_11th_coef mean_MFCC_12th_coef mean_delta_log_energy mean_0th_delta mean_1st_delta mean_2nd_delta mean_3rd_delta mean_4th_delta mean_5th_delta mean_6th_delta mean_7th_delta mean_8th_delta mean_9th_delta mean_10th_delta mean_11th_delta mean_12th_delta mean_delta_delta_log_energy mean_delta_delta_0th mean_1st_delta_delta mean_2nd_delta_delta mean_3rd_delta_delta mean_4th_delta_delta mean_5th_delta_delta mean_6th_delta_delta mean_7th_delta_delta mean_8th_delta_delta mean_9th_delta_delta mean_10th_delta_delta mean_11th_delta_delta mean_12th_delta_delta std_Log_energy std_MFCC_0th_coef std_MFCC_1st_coef std_MFCC_2nd_coef std_MFCC_3rd_coef std_MFCC_4th_coef std_MFCC_5th_coef std_MFCC_6th_coef std_MFCC_7th_coef std_MFCC_8th_coef std_MFCC_9th_coef std_MFCC_10th_coef std_MFCC_11th_coef std_MFCC_12th_coef std_delta_log_energy std_0th_delta std_1st_delta std_2nd_delta std_3rd_delta std_4th_delta std_5th_delta std_6th_delta std_7th_delta std_8th_delta std_9th_delta std_10th_delta std_11th_delta std_12th_delta std_delta_delta_log_energy std_delta_delta_0th std_1st_delta_delta std_2nd_delta_delta std_3rd_delta_delta std_4th_delta_delta std_5th_delta_delta std_6th_delta_delta std_7th_delta_delta std_8th_delta_delta std_9th_delta_delta std_10th_delta_delta std_11th_delta_delta std_12th_delta_delta Ea Ed_1_coef Ed_2_coef Ed_3_coef Ed_4_coef Ed_5_coef Ed_6_coef Ed_7_coef Ed_8_coef Ed_9_coef Ed_10_coef det_entropy_shannon_1_coef det_entropy_shannon_2_coef det_entropy_shannon_3_coef det_entropy_shannon_4_coef det_entropy_shannon_5_coef det_entropy_shannon_6_coef det_entropy_shannon_7_coef det_entropy_shannon_8_coef det_entropy_shannon_9_coef det_entropy_shannon_10_coef det_entropy_log_1_coef det_entropy_log_2_coef det_entropy_log_3_coef det_entropy_log_4_coef det_entropy_log_5_coef det_entropy_log_6_coef det_entropy_log_7_coef det_entropy_log_8_coef det_entropy_log_9_coef det_entropy_log_10_coef det_TKEO_mean_1_coef det_TKEO_mean_2_coef det_TKEO_mean_3_coef det_TKEO_mean_4_coef det_TKEO_mean_5_coef det_TKEO_mean_6_coef det_TKEO_mean_7_coef det_TKEO_mean_8_coef det_TKEO_mean_9_coef det_TKEO_mean_10_coef det_TKEO_std_1_coef det_TKEO_std_2_coef det_TKEO_std_3_coef det_TKEO_std_4_coef det_TKEO_std_5_coef det_TKEO_std_6_coef det_TKEO_std_7_coef det_TKEO_std_8_coef det_TKEO_std_9_coef det_TKEO_std_10_coef app_entropy_shannon_1_coef app_entropy_shannon_2_coef app_entropy_shannon_3_coef app_entropy_shannon_4_coef app_entropy_shannon_5_coef app_entropy_shannon_6_coef app_entropy_shannon_7_coef app_entropy_shannon_8_coef app_entropy_shannon_9_coef app_entropy_shannon_10_coef app_entropy_log_1_coef app_entropy_log_2_coef app_entropy_log_3_coef app_entropy_log_4_coef app_entropy_log_5_coef app_entropy_log_6_coef app_entropy_log_7_coef app_entropy_log_8_coef app_entropy_log_9_coef app_entropy_log_10_coef app_det_TKEO_mean_1_coef app_det_TKEO_mean_2_coef app_det_TKEO_mean_3_coef app_det_TKEO_mean_4_coef app_det_TKEO_mean_5_coef app_det_TKEO_mean_6_coef app_det_TKEO_mean_7_coef app_det_TKEO_mean_8_coef app_det_TKEO_mean_9_coef app_det_TKEO_mean_10_coef app_TKEO_std_1_coef app_TKEO_std_2_coef app_TKEO_std_3_coef app_TKEO_std_4_coef app_TKEO_std_5_coef app_TKEO_std_6_coef app_TKEO_std_7_coef app_TKEO_std_8_coef app_TKEO_std_9_coef app_TKEO_std_10_coef Ea2 Ed2_1_coef Ed2_2_coef Ed2_3_coef Ed2_4_coef Ed2_5_coef Ed2_6_coef Ed2_7_coef Ed2_8_coef Ed2_9_coef Ed2_10_coef det_LT_entropy_shannon_1_coef det_LT_entropy_shannon_2_coef det_LT_entropy_shannon_3_coef det_LT_entropy_shannon_4_coef det_LT_entropy_shannon_5_coef det_LT_entropy_shannon_6_coef det_LT_entropy_shannon_7_coef det_LT_entropy_shannon_8_coef ... tqwt_medianValue_dec_4 tqwt_medianValue_dec_5 tqwt_medianValue_dec_6 tqwt_medianValue_dec_7 tqwt_medianValue_dec_8 tqwt_medianValue_dec_9 tqwt_medianValue_dec_10 tqwt_medianValue_dec_11 tqwt_medianValue_dec_12 tqwt_medianValue_dec_13 tqwt_medianValue_dec_14 tqwt_medianValue_dec_15 tqwt_medianValue_dec_16 tqwt_medianValue_dec_17 tqwt_medianValue_dec_18 tqwt_medianValue_dec_19 tqwt_medianValue_dec_20 tqwt_medianValue_dec_21 tqwt_medianValue_dec_22 tqwt_medianValue_dec_23 tqwt_medianValue_dec_24 tqwt_medianValue_dec_25 tqwt_medianValue_dec_26 tqwt_medianValue_dec_27 tqwt_medianValue_dec_28 tqwt_medianValue_dec_29 tqwt_medianValue_dec_30 tqwt_medianValue_dec_31 tqwt_medianValue_dec_32 tqwt_medianValue_dec_33 tqwt_medianValue_dec_34 tqwt_medianValue_dec_35 tqwt_medianValue_dec_36 tqwt_meanValue_dec_1 tqwt_meanValue_dec_2 tqwt_meanValue_dec_3 tqwt_meanValue_dec_4 tqwt_meanValue_dec_5 tqwt_meanValue_dec_6 tqwt_meanValue_dec_7 tqwt_meanValue_dec_8 tqwt_meanValue_dec_9 tqwt_meanValue_dec_10 tqwt_meanValue_dec_11 tqwt_meanValue_dec_12 tqwt_meanValue_dec_13 tqwt_meanValue_dec_14 tqwt_meanValue_dec_15 tqwt_meanValue_dec_16 tqwt_meanValue_dec_17 tqwt_meanValue_dec_18 tqwt_meanValue_dec_19 tqwt_meanValue_dec_20 tqwt_meanValue_dec_21 tqwt_meanValue_dec_22 tqwt_meanValue_dec_23 tqwt_meanValue_dec_24 tqwt_meanValue_dec_25 tqwt_meanValue_dec_26 tqwt_meanValue_dec_27 tqwt_meanValue_dec_28 tqwt_meanValue_dec_29 tqwt_meanValue_dec_30 tqwt_meanValue_dec_31 tqwt_meanValue_dec_32 tqwt_meanValue_dec_33 tqwt_meanValue_dec_34 tqwt_meanValue_dec_35 tqwt_meanValue_dec_36 tqwt_stdValue_dec_1 tqwt_stdValue_dec_2 tqwt_stdValue_dec_3 tqwt_stdValue_dec_4 tqwt_stdValue_dec_5 tqwt_stdValue_dec_6 tqwt_stdValue_dec_7 tqwt_stdValue_dec_8 tqwt_stdValue_dec_9 tqwt_stdValue_dec_10 tqwt_stdValue_dec_11 tqwt_stdValue_dec_12 tqwt_stdValue_dec_13 tqwt_stdValue_dec_14 tqwt_stdValue_dec_15 tqwt_stdValue_dec_16 tqwt_stdValue_dec_17 tqwt_stdValue_dec_18 tqwt_stdValue_dec_19 tqwt_stdValue_dec_20 tqwt_stdValue_dec_21 tqwt_stdValue_dec_22 tqwt_stdValue_dec_23 tqwt_stdValue_dec_24 tqwt_stdValue_dec_25 tqwt_stdValue_dec_26 tqwt_stdValue_dec_27 tqwt_stdValue_dec_28 tqwt_stdValue_dec_29 tqwt_stdValue_dec_30 tqwt_stdValue_dec_31 tqwt_stdValue_dec_32 tqwt_stdValue_dec_33 tqwt_stdValue_dec_34 tqwt_stdValue_dec_35 tqwt_stdValue_dec_36 tqwt_minValue_dec_1 tqwt_minValue_dec_2 tqwt_minValue_dec_3 tqwt_minValue_dec_4 tqwt_minValue_dec_5 tqwt_minValue_dec_6 tqwt_minValue_dec_7 tqwt_minValue_dec_8 tqwt_minValue_dec_9 tqwt_minValue_dec_10 tqwt_minValue_dec_11 tqwt_minValue_dec_12 tqwt_minValue_dec_13 tqwt_minValue_dec_14 tqwt_minValue_dec_15 tqwt_minValue_dec_16 tqwt_minValue_dec_17 tqwt_minValue_dec_18 tqwt_minValue_dec_19 tqwt_minValue_dec_20 tqwt_minValue_dec_21 tqwt_minValue_dec_22 tqwt_minValue_dec_23 tqwt_minValue_dec_24 tqwt_minValue_dec_25 tqwt_minValue_dec_26 tqwt_minValue_dec_27 tqwt_minValue_dec_28 tqwt_minValue_dec_29 tqwt_minValue_dec_30 tqwt_minValue_dec_31 tqwt_minValue_dec_32 tqwt_minValue_dec_33 tqwt_minValue_dec_34 tqwt_minValue_dec_35 tqwt_minValue_dec_36 tqwt_maxValue_dec_1 tqwt_maxValue_dec_2 tqwt_maxValue_dec_3 tqwt_maxValue_dec_4 tqwt_maxValue_dec_5 tqwt_maxValue_dec_6 tqwt_maxValue_dec_7 tqwt_maxValue_dec_8 tqwt_maxValue_dec_9 tqwt_maxValue_dec_10 tqwt_maxValue_dec_11 tqwt_maxValue_dec_12 tqwt_maxValue_dec_13 tqwt_maxValue_dec_14 tqwt_maxValue_dec_15 tqwt_maxValue_dec_16 tqwt_maxValue_dec_17 tqwt_maxValue_dec_18 tqwt_maxValue_dec_19 tqwt_maxValue_dec_20 tqwt_maxValue_dec_21 tqwt_maxValue_dec_22 tqwt_maxValue_dec_23 tqwt_maxValue_dec_24 tqwt_maxValue_dec_25 tqwt_maxValue_dec_26 tqwt_maxValue_dec_27 tqwt_maxValue_dec_28 tqwt_maxValue_dec_29 tqwt_maxValue_dec_30 tqwt_maxValue_dec_31 tqwt_maxValue_dec_32 tqwt_maxValue_dec_33 tqwt_maxValue_dec_34 tqwt_maxValue_dec_35 tqwt_maxValue_dec_36 tqwt_skewnessValue_dec_1 tqwt_skewnessValue_dec_2 tqwt_skewnessValue_dec_3 tqwt_skewnessValue_dec_4 tqwt_skewnessValue_dec_5 tqwt_skewnessValue_dec_6 tqwt_skewnessValue_dec_7 tqwt_skewnessValue_dec_8 tqwt_skewnessValue_dec_9 tqwt_skewnessValue_dec_10 tqwt_skewnessValue_dec_11 tqwt_skewnessValue_dec_12 tqwt_skewnessValue_dec_13 tqwt_skewnessValue_dec_14 tqwt_skewnessValue_dec_15 tqwt_skewnessValue_dec_16 tqwt_skewnessValue_dec_17 tqwt_skewnessValue_dec_18 tqwt_skewnessValue_dec_19 tqwt_skewnessValue_dec_20 tqwt_skewnessValue_dec_21 tqwt_skewnessValue_dec_22 tqwt_skewnessValue_dec_23 tqwt_skewnessValue_dec_24 tqwt_skewnessValue_dec_25 tqwt_skewnessValue_dec_26 tqwt_skewnessValue_dec_27 tqwt_skewnessValue_dec_28 tqwt_skewnessValue_dec_29 tqwt_skewnessValue_dec_30 tqwt_skewnessValue_dec_31 tqwt_skewnessValue_dec_32 tqwt_skewnessValue_dec_33 tqwt_skewnessValue_dec_34 tqwt_skewnessValue_dec_35 tqwt_skewnessValue_dec_36 tqwt_kurtosisValue_dec_1 tqwt_kurtosisValue_dec_2 tqwt_kurtosisValue_dec_3 tqwt_kurtosisValue_dec_4 tqwt_kurtosisValue_dec_5 tqwt_kurtosisValue_dec_6 tqwt_kurtosisValue_dec_7 tqwt_kurtosisValue_dec_8 tqwt_kurtosisValue_dec_9 tqwt_kurtosisValue_dec_10 tqwt_kurtosisValue_dec_11 tqwt_kurtosisValue_dec_12 tqwt_kurtosisValue_dec_13 tqwt_kurtosisValue_dec_14 tqwt_kurtosisValue_dec_15 tqwt_kurtosisValue_dec_16 tqwt_kurtosisValue_dec_17 tqwt_kurtosisValue_dec_18 tqwt_kurtosisValue_dec_19 tqwt_kurtosisValue_dec_20 tqwt_kurtosisValue_dec_21 tqwt_kurtosisValue_dec_22 tqwt_kurtosisValue_dec_23 tqwt_kurtosisValue_dec_24 tqwt_kurtosisValue_dec_25 tqwt_kurtosisValue_dec_26 tqwt_kurtosisValue_dec_27 tqwt_kurtosisValue_dec_28 tqwt_kurtosisValue_dec_29 tqwt_kurtosisValue_dec_30 tqwt_kurtosisValue_dec_31 tqwt_kurtosisValue_dec_32 tqwt_kurtosisValue_dec_33 tqwt_kurtosisValue_dec_34 tqwt_kurtosisValue_dec_35 tqwt_kurtosisValue_dec_36 class
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5 rows × 755 columns

In [4]:
# Rename the columns for a more appealing view
prev_col_name = ''
column_names = []
for c in data.columns:
    if not c[0].startswith('Unnamed'):
        prev_col_name = c[0]
    column_names.append(f'{prev_col_name}-{c[1]}')
column_names[-1] = 'class'
data.columns = column_names
In [5]:
data.head()
Out[5]:
-id -gender Baseline Features-PPE Baseline Features-DFA Baseline Features-RPDE Baseline Features-numPulses Baseline Features-numPeriodsPulses Baseline Features-meanPeriodPulses Baseline Features-stdDevPeriodPulses Baseline Features-locPctJitter Baseline Features-locAbsJitter Baseline Features-rapJitter Baseline Features-ppq5Jitter Baseline Features-ddpJitter Baseline Features-locShimmer Baseline Features-locDbShimmer Baseline Features-apq3Shimmer Baseline Features-apq5Shimmer Baseline Features-apq11Shimmer Baseline Features-ddaShimmer Baseline Features-meanAutoCorrHarmonicity Baseline Features-meanNoiseToHarmHarmonicity Baseline Features-meanHarmToNoiseHarmonicity Intensity Parameters-minIntensity Intensity Parameters-maxIntensity Intensity Parameters-meanIntensity Formant Frequencies-f1 Formant Frequencies-f2 Formant Frequencies-f3 Formant Frequencies-f4 Bandwidth Parameters-b1 Bandwidth Parameters-b2 Bandwidth Parameters-b3 Bandwidth Parameters-b4 Vocal Fold-GQ_prc5_95 Vocal Fold-GQ_std_cycle_open Vocal Fold-GQ_std_cycle_closed Vocal Fold-GNE_mean Vocal Fold-GNE_std Vocal Fold-GNE_SNR_TKEO Vocal Fold-GNE_SNR_SEO Vocal Fold-GNE_NSR_TKEO Vocal Fold-GNE_NSR_SEO Vocal Fold-VFER_mean Vocal Fold-VFER_std Vocal Fold-VFER_entropy Vocal Fold-VFER_SNR_TKEO Vocal Fold-VFER_SNR_SEO Vocal Fold-VFER_NSR_TKEO Vocal Fold-VFER_NSR_SEO Vocal Fold-IMF_SNR_SEO Vocal Fold-IMF_SNR_TKEO Vocal Fold-IMF_SNR_entropy Vocal Fold-IMF_NSR_SEO Vocal Fold-IMF_NSR_TKEO Vocal Fold-IMF_NSR_entropy MFCC -mean_Log_energy MFCC -mean_MFCC_0th_coef MFCC -mean_MFCC_1st_coef MFCC -mean_MFCC_2nd_coef MFCC -mean_MFCC_3rd_coef MFCC -mean_MFCC_4th_coef MFCC -mean_MFCC_5th_coef MFCC -mean_MFCC_6th_coef MFCC -mean_MFCC_7th_coef MFCC -mean_MFCC_8th_coef MFCC -mean_MFCC_9th_coef MFCC -mean_MFCC_10th_coef MFCC -mean_MFCC_11th_coef MFCC -mean_MFCC_12th_coef MFCC -mean_delta_log_energy MFCC -mean_0th_delta MFCC -mean_1st_delta MFCC -mean_2nd_delta MFCC -mean_3rd_delta MFCC -mean_4th_delta MFCC -mean_5th_delta MFCC -mean_6th_delta MFCC -mean_7th_delta MFCC -mean_8th_delta MFCC -mean_9th_delta MFCC -mean_10th_delta MFCC -mean_11th_delta MFCC -mean_12th_delta MFCC -mean_delta_delta_log_energy MFCC -mean_delta_delta_0th MFCC -mean_1st_delta_delta MFCC -mean_2nd_delta_delta MFCC -mean_3rd_delta_delta MFCC -mean_4th_delta_delta MFCC -mean_5th_delta_delta MFCC -mean_6th_delta_delta MFCC -mean_7th_delta_delta MFCC -mean_8th_delta_delta MFCC -mean_9th_delta_delta MFCC -mean_10th_delta_delta MFCC -mean_11th_delta_delta MFCC -mean_12th_delta_delta MFCC -std_Log_energy MFCC -std_MFCC_0th_coef MFCC -std_MFCC_1st_coef MFCC -std_MFCC_2nd_coef MFCC -std_MFCC_3rd_coef MFCC -std_MFCC_4th_coef MFCC -std_MFCC_5th_coef MFCC -std_MFCC_6th_coef MFCC -std_MFCC_7th_coef MFCC -std_MFCC_8th_coef MFCC -std_MFCC_9th_coef MFCC -std_MFCC_10th_coef MFCC -std_MFCC_11th_coef MFCC -std_MFCC_12th_coef MFCC -std_delta_log_energy MFCC -std_0th_delta MFCC -std_1st_delta MFCC -std_2nd_delta MFCC -std_3rd_delta MFCC -std_4th_delta MFCC -std_5th_delta MFCC -std_6th_delta MFCC -std_7th_delta MFCC -std_8th_delta MFCC -std_9th_delta MFCC -std_10th_delta MFCC -std_11th_delta MFCC -std_12th_delta MFCC -std_delta_delta_log_energy MFCC -std_delta_delta_0th MFCC -std_1st_delta_delta MFCC -std_2nd_delta_delta MFCC -std_3rd_delta_delta MFCC -std_4th_delta_delta MFCC -std_5th_delta_delta MFCC -std_6th_delta_delta MFCC -std_7th_delta_delta MFCC -std_8th_delta_delta MFCC -std_9th_delta_delta MFCC -std_10th_delta_delta MFCC -std_11th_delta_delta MFCC -std_12th_delta_delta Wavelet Features-Ea Wavelet Features-Ed_1_coef Wavelet Features-Ed_2_coef Wavelet Features-Ed_3_coef Wavelet Features-Ed_4_coef Wavelet Features-Ed_5_coef Wavelet Features-Ed_6_coef Wavelet Features-Ed_7_coef Wavelet Features-Ed_8_coef Wavelet Features-Ed_9_coef Wavelet Features-Ed_10_coef Wavelet Features-det_entropy_shannon_1_coef Wavelet Features-det_entropy_shannon_2_coef Wavelet Features-det_entropy_shannon_3_coef Wavelet Features-det_entropy_shannon_4_coef Wavelet Features-det_entropy_shannon_5_coef Wavelet Features-det_entropy_shannon_6_coef Wavelet Features-det_entropy_shannon_7_coef Wavelet Features-det_entropy_shannon_8_coef Wavelet Features-det_entropy_shannon_9_coef Wavelet Features-det_entropy_shannon_10_coef Wavelet Features-det_entropy_log_1_coef Wavelet Features-det_entropy_log_2_coef Wavelet Features-det_entropy_log_3_coef Wavelet Features-det_entropy_log_4_coef Wavelet Features-det_entropy_log_5_coef Wavelet Features-det_entropy_log_6_coef Wavelet Features-det_entropy_log_7_coef Wavelet Features-det_entropy_log_8_coef Wavelet Features-det_entropy_log_9_coef Wavelet Features-det_entropy_log_10_coef Wavelet Features-det_TKEO_mean_1_coef Wavelet Features-det_TKEO_mean_2_coef Wavelet Features-det_TKEO_mean_3_coef Wavelet Features-det_TKEO_mean_4_coef Wavelet Features-det_TKEO_mean_5_coef Wavelet Features-det_TKEO_mean_6_coef Wavelet Features-det_TKEO_mean_7_coef Wavelet Features-det_TKEO_mean_8_coef Wavelet Features-det_TKEO_mean_9_coef Wavelet Features-det_TKEO_mean_10_coef Wavelet Features-det_TKEO_std_1_coef Wavelet Features-det_TKEO_std_2_coef Wavelet Features-det_TKEO_std_3_coef Wavelet Features-det_TKEO_std_4_coef Wavelet Features-det_TKEO_std_5_coef Wavelet Features-det_TKEO_std_6_coef Wavelet Features-det_TKEO_std_7_coef Wavelet Features-det_TKEO_std_8_coef Wavelet Features-det_TKEO_std_9_coef Wavelet Features-det_TKEO_std_10_coef Wavelet Features-app_entropy_shannon_1_coef Wavelet Features-app_entropy_shannon_2_coef Wavelet Features-app_entropy_shannon_3_coef Wavelet Features-app_entropy_shannon_4_coef Wavelet Features-app_entropy_shannon_5_coef Wavelet Features-app_entropy_shannon_6_coef Wavelet Features-app_entropy_shannon_7_coef Wavelet Features-app_entropy_shannon_8_coef Wavelet Features-app_entropy_shannon_9_coef Wavelet Features-app_entropy_shannon_10_coef Wavelet Features-app_entropy_log_1_coef Wavelet Features-app_entropy_log_2_coef Wavelet Features-app_entropy_log_3_coef Wavelet Features-app_entropy_log_4_coef Wavelet Features-app_entropy_log_5_coef Wavelet Features-app_entropy_log_6_coef Wavelet Features-app_entropy_log_7_coef Wavelet Features-app_entropy_log_8_coef Wavelet Features-app_entropy_log_9_coef Wavelet Features-app_entropy_log_10_coef Wavelet Features-app_det_TKEO_mean_1_coef Wavelet Features-app_det_TKEO_mean_2_coef Wavelet Features-app_det_TKEO_mean_3_coef Wavelet Features-app_det_TKEO_mean_4_coef Wavelet Features-app_det_TKEO_mean_5_coef Wavelet Features-app_det_TKEO_mean_6_coef Wavelet Features-app_det_TKEO_mean_7_coef Wavelet Features-app_det_TKEO_mean_8_coef Wavelet Features-app_det_TKEO_mean_9_coef Wavelet Features-app_det_TKEO_mean_10_coef Wavelet Features-app_TKEO_std_1_coef Wavelet Features-app_TKEO_std_2_coef Wavelet Features-app_TKEO_std_3_coef Wavelet Features-app_TKEO_std_4_coef Wavelet Features-app_TKEO_std_5_coef Wavelet Features-app_TKEO_std_6_coef Wavelet Features-app_TKEO_std_7_coef Wavelet Features-app_TKEO_std_8_coef Wavelet Features-app_TKEO_std_9_coef Wavelet Features-app_TKEO_std_10_coef Wavelet Features-Ea2 Wavelet Features-Ed2_1_coef Wavelet Features-Ed2_2_coef Wavelet Features-Ed2_3_coef Wavelet Features-Ed2_4_coef Wavelet Features-Ed2_5_coef Wavelet Features-Ed2_6_coef Wavelet Features-Ed2_7_coef Wavelet Features-Ed2_8_coef Wavelet Features-Ed2_9_coef Wavelet Features-Ed2_10_coef Wavelet Features-det_LT_entropy_shannon_1_coef Wavelet Features-det_LT_entropy_shannon_2_coef Wavelet Features-det_LT_entropy_shannon_3_coef Wavelet Features-det_LT_entropy_shannon_4_coef Wavelet Features-det_LT_entropy_shannon_5_coef Wavelet Features-det_LT_entropy_shannon_6_coef Wavelet Features-det_LT_entropy_shannon_7_coef Wavelet Features-det_LT_entropy_shannon_8_coef ... TQWT Features-tqwt_medianValue_dec_4 TQWT Features-tqwt_medianValue_dec_5 TQWT Features-tqwt_medianValue_dec_6 TQWT Features-tqwt_medianValue_dec_7 TQWT Features-tqwt_medianValue_dec_8 TQWT Features-tqwt_medianValue_dec_9 TQWT Features-tqwt_medianValue_dec_10 TQWT Features-tqwt_medianValue_dec_11 TQWT Features-tqwt_medianValue_dec_12 TQWT Features-tqwt_medianValue_dec_13 TQWT Features-tqwt_medianValue_dec_14 TQWT Features-tqwt_medianValue_dec_15 TQWT Features-tqwt_medianValue_dec_16 TQWT Features-tqwt_medianValue_dec_17 TQWT Features-tqwt_medianValue_dec_18 TQWT Features-tqwt_medianValue_dec_19 TQWT Features-tqwt_medianValue_dec_20 TQWT Features-tqwt_medianValue_dec_21 TQWT Features-tqwt_medianValue_dec_22 TQWT Features-tqwt_medianValue_dec_23 TQWT Features-tqwt_medianValue_dec_24 TQWT Features-tqwt_medianValue_dec_25 TQWT Features-tqwt_medianValue_dec_26 TQWT Features-tqwt_medianValue_dec_27 TQWT Features-tqwt_medianValue_dec_28 TQWT Features-tqwt_medianValue_dec_29 TQWT Features-tqwt_medianValue_dec_30 TQWT Features-tqwt_medianValue_dec_31 TQWT Features-tqwt_medianValue_dec_32 TQWT Features-tqwt_medianValue_dec_33 TQWT Features-tqwt_medianValue_dec_34 TQWT Features-tqwt_medianValue_dec_35 TQWT Features-tqwt_medianValue_dec_36 TQWT Features-tqwt_meanValue_dec_1 TQWT Features-tqwt_meanValue_dec_2 TQWT Features-tqwt_meanValue_dec_3 TQWT Features-tqwt_meanValue_dec_4 TQWT Features-tqwt_meanValue_dec_5 TQWT Features-tqwt_meanValue_dec_6 TQWT Features-tqwt_meanValue_dec_7 TQWT Features-tqwt_meanValue_dec_8 TQWT Features-tqwt_meanValue_dec_9 TQWT Features-tqwt_meanValue_dec_10 TQWT Features-tqwt_meanValue_dec_11 TQWT Features-tqwt_meanValue_dec_12 TQWT Features-tqwt_meanValue_dec_13 TQWT Features-tqwt_meanValue_dec_14 TQWT Features-tqwt_meanValue_dec_15 TQWT Features-tqwt_meanValue_dec_16 TQWT Features-tqwt_meanValue_dec_17 TQWT Features-tqwt_meanValue_dec_18 TQWT Features-tqwt_meanValue_dec_19 TQWT Features-tqwt_meanValue_dec_20 TQWT Features-tqwt_meanValue_dec_21 TQWT Features-tqwt_meanValue_dec_22 TQWT Features-tqwt_meanValue_dec_23 TQWT Features-tqwt_meanValue_dec_24 TQWT Features-tqwt_meanValue_dec_25 TQWT Features-tqwt_meanValue_dec_26 TQWT Features-tqwt_meanValue_dec_27 TQWT Features-tqwt_meanValue_dec_28 TQWT Features-tqwt_meanValue_dec_29 TQWT Features-tqwt_meanValue_dec_30 TQWT Features-tqwt_meanValue_dec_31 TQWT Features-tqwt_meanValue_dec_32 TQWT Features-tqwt_meanValue_dec_33 TQWT Features-tqwt_meanValue_dec_34 TQWT Features-tqwt_meanValue_dec_35 TQWT Features-tqwt_meanValue_dec_36 TQWT Features-tqwt_stdValue_dec_1 TQWT Features-tqwt_stdValue_dec_2 TQWT Features-tqwt_stdValue_dec_3 TQWT Features-tqwt_stdValue_dec_4 TQWT Features-tqwt_stdValue_dec_5 TQWT Features-tqwt_stdValue_dec_6 TQWT Features-tqwt_stdValue_dec_7 TQWT Features-tqwt_stdValue_dec_8 TQWT Features-tqwt_stdValue_dec_9 TQWT Features-tqwt_stdValue_dec_10 TQWT Features-tqwt_stdValue_dec_11 TQWT Features-tqwt_stdValue_dec_12 TQWT Features-tqwt_stdValue_dec_13 TQWT Features-tqwt_stdValue_dec_14 TQWT Features-tqwt_stdValue_dec_15 TQWT Features-tqwt_stdValue_dec_16 TQWT Features-tqwt_stdValue_dec_17 TQWT Features-tqwt_stdValue_dec_18 TQWT Features-tqwt_stdValue_dec_19 TQWT Features-tqwt_stdValue_dec_20 TQWT Features-tqwt_stdValue_dec_21 TQWT Features-tqwt_stdValue_dec_22 TQWT Features-tqwt_stdValue_dec_23 TQWT Features-tqwt_stdValue_dec_24 TQWT Features-tqwt_stdValue_dec_25 TQWT Features-tqwt_stdValue_dec_26 TQWT Features-tqwt_stdValue_dec_27 TQWT Features-tqwt_stdValue_dec_28 TQWT Features-tqwt_stdValue_dec_29 TQWT Features-tqwt_stdValue_dec_30 TQWT Features-tqwt_stdValue_dec_31 TQWT Features-tqwt_stdValue_dec_32 TQWT Features-tqwt_stdValue_dec_33 TQWT Features-tqwt_stdValue_dec_34 TQWT Features-tqwt_stdValue_dec_35 TQWT Features-tqwt_stdValue_dec_36 TQWT Features-tqwt_minValue_dec_1 TQWT Features-tqwt_minValue_dec_2 TQWT Features-tqwt_minValue_dec_3 TQWT Features-tqwt_minValue_dec_4 TQWT Features-tqwt_minValue_dec_5 TQWT Features-tqwt_minValue_dec_6 TQWT Features-tqwt_minValue_dec_7 TQWT Features-tqwt_minValue_dec_8 TQWT Features-tqwt_minValue_dec_9 TQWT Features-tqwt_minValue_dec_10 TQWT Features-tqwt_minValue_dec_11 TQWT Features-tqwt_minValue_dec_12 TQWT Features-tqwt_minValue_dec_13 TQWT Features-tqwt_minValue_dec_14 TQWT Features-tqwt_minValue_dec_15 TQWT Features-tqwt_minValue_dec_16 TQWT Features-tqwt_minValue_dec_17 TQWT Features-tqwt_minValue_dec_18 TQWT Features-tqwt_minValue_dec_19 TQWT Features-tqwt_minValue_dec_20 TQWT Features-tqwt_minValue_dec_21 TQWT Features-tqwt_minValue_dec_22 TQWT Features-tqwt_minValue_dec_23 TQWT Features-tqwt_minValue_dec_24 TQWT Features-tqwt_minValue_dec_25 TQWT Features-tqwt_minValue_dec_26 TQWT Features-tqwt_minValue_dec_27 TQWT Features-tqwt_minValue_dec_28 TQWT Features-tqwt_minValue_dec_29 TQWT Features-tqwt_minValue_dec_30 TQWT Features-tqwt_minValue_dec_31 TQWT Features-tqwt_minValue_dec_32 TQWT Features-tqwt_minValue_dec_33 TQWT Features-tqwt_minValue_dec_34 TQWT Features-tqwt_minValue_dec_35 TQWT Features-tqwt_minValue_dec_36 TQWT Features-tqwt_maxValue_dec_1 TQWT Features-tqwt_maxValue_dec_2 TQWT Features-tqwt_maxValue_dec_3 TQWT Features-tqwt_maxValue_dec_4 TQWT Features-tqwt_maxValue_dec_5 TQWT Features-tqwt_maxValue_dec_6 TQWT Features-tqwt_maxValue_dec_7 TQWT Features-tqwt_maxValue_dec_8 TQWT Features-tqwt_maxValue_dec_9 TQWT Features-tqwt_maxValue_dec_10 TQWT Features-tqwt_maxValue_dec_11 TQWT Features-tqwt_maxValue_dec_12 TQWT Features-tqwt_maxValue_dec_13 TQWT Features-tqwt_maxValue_dec_14 TQWT Features-tqwt_maxValue_dec_15 TQWT Features-tqwt_maxValue_dec_16 TQWT Features-tqwt_maxValue_dec_17 TQWT Features-tqwt_maxValue_dec_18 TQWT Features-tqwt_maxValue_dec_19 TQWT Features-tqwt_maxValue_dec_20 TQWT Features-tqwt_maxValue_dec_21 TQWT Features-tqwt_maxValue_dec_22 TQWT Features-tqwt_maxValue_dec_23 TQWT Features-tqwt_maxValue_dec_24 TQWT Features-tqwt_maxValue_dec_25 TQWT Features-tqwt_maxValue_dec_26 TQWT Features-tqwt_maxValue_dec_27 TQWT Features-tqwt_maxValue_dec_28 TQWT Features-tqwt_maxValue_dec_29 TQWT Features-tqwt_maxValue_dec_30 TQWT Features-tqwt_maxValue_dec_31 TQWT Features-tqwt_maxValue_dec_32 TQWT Features-tqwt_maxValue_dec_33 TQWT Features-tqwt_maxValue_dec_34 TQWT Features-tqwt_maxValue_dec_35 TQWT Features-tqwt_maxValue_dec_36 TQWT Features-tqwt_skewnessValue_dec_1 TQWT Features-tqwt_skewnessValue_dec_2 TQWT Features-tqwt_skewnessValue_dec_3 TQWT Features-tqwt_skewnessValue_dec_4 TQWT Features-tqwt_skewnessValue_dec_5 TQWT Features-tqwt_skewnessValue_dec_6 TQWT Features-tqwt_skewnessValue_dec_7 TQWT Features-tqwt_skewnessValue_dec_8 TQWT Features-tqwt_skewnessValue_dec_9 TQWT Features-tqwt_skewnessValue_dec_10 TQWT Features-tqwt_skewnessValue_dec_11 TQWT Features-tqwt_skewnessValue_dec_12 TQWT Features-tqwt_skewnessValue_dec_13 TQWT Features-tqwt_skewnessValue_dec_14 TQWT Features-tqwt_skewnessValue_dec_15 TQWT Features-tqwt_skewnessValue_dec_16 TQWT Features-tqwt_skewnessValue_dec_17 TQWT Features-tqwt_skewnessValue_dec_18 TQWT Features-tqwt_skewnessValue_dec_19 TQWT Features-tqwt_skewnessValue_dec_20 TQWT Features-tqwt_skewnessValue_dec_21 TQWT Features-tqwt_skewnessValue_dec_22 TQWT Features-tqwt_skewnessValue_dec_23 TQWT Features-tqwt_skewnessValue_dec_24 TQWT Features-tqwt_skewnessValue_dec_25 TQWT Features-tqwt_skewnessValue_dec_26 TQWT Features-tqwt_skewnessValue_dec_27 TQWT Features-tqwt_skewnessValue_dec_28 TQWT Features-tqwt_skewnessValue_dec_29 TQWT Features-tqwt_skewnessValue_dec_30 TQWT Features-tqwt_skewnessValue_dec_31 TQWT Features-tqwt_skewnessValue_dec_32 TQWT Features-tqwt_skewnessValue_dec_33 TQWT Features-tqwt_skewnessValue_dec_34 TQWT Features-tqwt_skewnessValue_dec_35 TQWT Features-tqwt_skewnessValue_dec_36 TQWT Features-tqwt_kurtosisValue_dec_1 TQWT Features-tqwt_kurtosisValue_dec_2 TQWT Features-tqwt_kurtosisValue_dec_3 TQWT Features-tqwt_kurtosisValue_dec_4 TQWT Features-tqwt_kurtosisValue_dec_5 TQWT Features-tqwt_kurtosisValue_dec_6 TQWT Features-tqwt_kurtosisValue_dec_7 TQWT Features-tqwt_kurtosisValue_dec_8 TQWT Features-tqwt_kurtosisValue_dec_9 TQWT Features-tqwt_kurtosisValue_dec_10 TQWT Features-tqwt_kurtosisValue_dec_11 TQWT Features-tqwt_kurtosisValue_dec_12 TQWT Features-tqwt_kurtosisValue_dec_13 TQWT Features-tqwt_kurtosisValue_dec_14 TQWT Features-tqwt_kurtosisValue_dec_15 TQWT Features-tqwt_kurtosisValue_dec_16 TQWT Features-tqwt_kurtosisValue_dec_17 TQWT Features-tqwt_kurtosisValue_dec_18 TQWT Features-tqwt_kurtosisValue_dec_19 TQWT Features-tqwt_kurtosisValue_dec_20 TQWT Features-tqwt_kurtosisValue_dec_21 TQWT Features-tqwt_kurtosisValue_dec_22 TQWT Features-tqwt_kurtosisValue_dec_23 TQWT Features-tqwt_kurtosisValue_dec_24 TQWT Features-tqwt_kurtosisValue_dec_25 TQWT Features-tqwt_kurtosisValue_dec_26 TQWT Features-tqwt_kurtosisValue_dec_27 TQWT Features-tqwt_kurtosisValue_dec_28 TQWT Features-tqwt_kurtosisValue_dec_29 TQWT Features-tqwt_kurtosisValue_dec_30 TQWT Features-tqwt_kurtosisValue_dec_31 TQWT Features-tqwt_kurtosisValue_dec_32 TQWT Features-tqwt_kurtosisValue_dec_33 TQWT Features-tqwt_kurtosisValue_dec_34 TQWT Features-tqwt_kurtosisValue_dec_35 TQWT Features-tqwt_kurtosisValue_dec_36 class
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5 rows × 755 columns

Normalize variables

In [6]:
for c in data.columns[2:-1]:
    data[c] = (data[c] - data[c].mean()) / data[c].std()
data.head()
Out[6]:
-id -gender Baseline Features-PPE Baseline Features-DFA Baseline Features-RPDE Baseline Features-numPulses Baseline Features-numPeriodsPulses Baseline Features-meanPeriodPulses Baseline Features-stdDevPeriodPulses Baseline Features-locPctJitter Baseline Features-locAbsJitter Baseline Features-rapJitter Baseline Features-ppq5Jitter Baseline Features-ddpJitter Baseline Features-locShimmer Baseline Features-locDbShimmer Baseline Features-apq3Shimmer Baseline Features-apq5Shimmer Baseline Features-apq11Shimmer Baseline Features-ddaShimmer Baseline Features-meanAutoCorrHarmonicity Baseline Features-meanNoiseToHarmHarmonicity Baseline Features-meanHarmToNoiseHarmonicity Intensity Parameters-minIntensity Intensity Parameters-maxIntensity Intensity Parameters-meanIntensity Formant Frequencies-f1 Formant Frequencies-f2 Formant Frequencies-f3 Formant Frequencies-f4 Bandwidth Parameters-b1 Bandwidth Parameters-b2 Bandwidth Parameters-b3 Bandwidth Parameters-b4 Vocal Fold-GQ_prc5_95 Vocal Fold-GQ_std_cycle_open Vocal Fold-GQ_std_cycle_closed Vocal Fold-GNE_mean Vocal Fold-GNE_std Vocal Fold-GNE_SNR_TKEO Vocal Fold-GNE_SNR_SEO Vocal Fold-GNE_NSR_TKEO Vocal Fold-GNE_NSR_SEO Vocal Fold-VFER_mean Vocal Fold-VFER_std Vocal Fold-VFER_entropy Vocal Fold-VFER_SNR_TKEO Vocal Fold-VFER_SNR_SEO Vocal Fold-VFER_NSR_TKEO Vocal Fold-VFER_NSR_SEO Vocal Fold-IMF_SNR_SEO Vocal Fold-IMF_SNR_TKEO Vocal Fold-IMF_SNR_entropy Vocal Fold-IMF_NSR_SEO Vocal Fold-IMF_NSR_TKEO Vocal Fold-IMF_NSR_entropy MFCC -mean_Log_energy MFCC -mean_MFCC_0th_coef MFCC -mean_MFCC_1st_coef MFCC -mean_MFCC_2nd_coef MFCC -mean_MFCC_3rd_coef MFCC -mean_MFCC_4th_coef MFCC -mean_MFCC_5th_coef MFCC -mean_MFCC_6th_coef MFCC -mean_MFCC_7th_coef MFCC -mean_MFCC_8th_coef MFCC -mean_MFCC_9th_coef MFCC -mean_MFCC_10th_coef MFCC -mean_MFCC_11th_coef MFCC -mean_MFCC_12th_coef MFCC -mean_delta_log_energy MFCC -mean_0th_delta MFCC -mean_1st_delta MFCC -mean_2nd_delta MFCC -mean_3rd_delta MFCC -mean_4th_delta MFCC -mean_5th_delta MFCC -mean_6th_delta MFCC -mean_7th_delta MFCC -mean_8th_delta MFCC -mean_9th_delta MFCC -mean_10th_delta MFCC -mean_11th_delta MFCC -mean_12th_delta MFCC -mean_delta_delta_log_energy MFCC -mean_delta_delta_0th MFCC -mean_1st_delta_delta MFCC -mean_2nd_delta_delta MFCC -mean_3rd_delta_delta MFCC -mean_4th_delta_delta MFCC -mean_5th_delta_delta MFCC -mean_6th_delta_delta MFCC -mean_7th_delta_delta MFCC -mean_8th_delta_delta MFCC -mean_9th_delta_delta MFCC -mean_10th_delta_delta MFCC -mean_11th_delta_delta MFCC -mean_12th_delta_delta MFCC -std_Log_energy MFCC -std_MFCC_0th_coef MFCC -std_MFCC_1st_coef MFCC -std_MFCC_2nd_coef MFCC -std_MFCC_3rd_coef MFCC -std_MFCC_4th_coef MFCC -std_MFCC_5th_coef MFCC -std_MFCC_6th_coef MFCC -std_MFCC_7th_coef MFCC -std_MFCC_8th_coef MFCC -std_MFCC_9th_coef MFCC -std_MFCC_10th_coef MFCC -std_MFCC_11th_coef MFCC -std_MFCC_12th_coef MFCC -std_delta_log_energy MFCC -std_0th_delta MFCC -std_1st_delta MFCC -std_2nd_delta MFCC -std_3rd_delta MFCC -std_4th_delta MFCC -std_5th_delta MFCC -std_6th_delta MFCC -std_7th_delta MFCC -std_8th_delta MFCC -std_9th_delta MFCC -std_10th_delta MFCC -std_11th_delta MFCC -std_12th_delta MFCC -std_delta_delta_log_energy MFCC -std_delta_delta_0th MFCC -std_1st_delta_delta MFCC -std_2nd_delta_delta MFCC -std_3rd_delta_delta MFCC -std_4th_delta_delta MFCC -std_5th_delta_delta MFCC -std_6th_delta_delta MFCC -std_7th_delta_delta MFCC -std_8th_delta_delta MFCC -std_9th_delta_delta MFCC -std_10th_delta_delta MFCC -std_11th_delta_delta MFCC -std_12th_delta_delta Wavelet Features-Ea Wavelet Features-Ed_1_coef Wavelet Features-Ed_2_coef Wavelet Features-Ed_3_coef Wavelet Features-Ed_4_coef Wavelet Features-Ed_5_coef Wavelet Features-Ed_6_coef Wavelet Features-Ed_7_coef Wavelet Features-Ed_8_coef Wavelet Features-Ed_9_coef Wavelet Features-Ed_10_coef Wavelet Features-det_entropy_shannon_1_coef Wavelet Features-det_entropy_shannon_2_coef Wavelet Features-det_entropy_shannon_3_coef Wavelet Features-det_entropy_shannon_4_coef Wavelet Features-det_entropy_shannon_5_coef Wavelet Features-det_entropy_shannon_6_coef Wavelet Features-det_entropy_shannon_7_coef Wavelet Features-det_entropy_shannon_8_coef Wavelet Features-det_entropy_shannon_9_coef Wavelet Features-det_entropy_shannon_10_coef Wavelet Features-det_entropy_log_1_coef Wavelet Features-det_entropy_log_2_coef Wavelet Features-det_entropy_log_3_coef Wavelet Features-det_entropy_log_4_coef Wavelet Features-det_entropy_log_5_coef Wavelet Features-det_entropy_log_6_coef Wavelet Features-det_entropy_log_7_coef Wavelet Features-det_entropy_log_8_coef Wavelet Features-det_entropy_log_9_coef Wavelet Features-det_entropy_log_10_coef Wavelet Features-det_TKEO_mean_1_coef Wavelet Features-det_TKEO_mean_2_coef Wavelet Features-det_TKEO_mean_3_coef Wavelet Features-det_TKEO_mean_4_coef Wavelet Features-det_TKEO_mean_5_coef Wavelet Features-det_TKEO_mean_6_coef Wavelet Features-det_TKEO_mean_7_coef Wavelet Features-det_TKEO_mean_8_coef Wavelet Features-det_TKEO_mean_9_coef Wavelet Features-det_TKEO_mean_10_coef Wavelet Features-det_TKEO_std_1_coef Wavelet Features-det_TKEO_std_2_coef Wavelet Features-det_TKEO_std_3_coef Wavelet Features-det_TKEO_std_4_coef Wavelet Features-det_TKEO_std_5_coef Wavelet Features-det_TKEO_std_6_coef Wavelet Features-det_TKEO_std_7_coef Wavelet Features-det_TKEO_std_8_coef Wavelet Features-det_TKEO_std_9_coef Wavelet Features-det_TKEO_std_10_coef Wavelet Features-app_entropy_shannon_1_coef Wavelet Features-app_entropy_shannon_2_coef Wavelet Features-app_entropy_shannon_3_coef Wavelet Features-app_entropy_shannon_4_coef Wavelet Features-app_entropy_shannon_5_coef Wavelet Features-app_entropy_shannon_6_coef Wavelet Features-app_entropy_shannon_7_coef Wavelet Features-app_entropy_shannon_8_coef Wavelet Features-app_entropy_shannon_9_coef Wavelet Features-app_entropy_shannon_10_coef Wavelet Features-app_entropy_log_1_coef Wavelet Features-app_entropy_log_2_coef Wavelet Features-app_entropy_log_3_coef Wavelet Features-app_entropy_log_4_coef Wavelet Features-app_entropy_log_5_coef Wavelet Features-app_entropy_log_6_coef Wavelet Features-app_entropy_log_7_coef Wavelet Features-app_entropy_log_8_coef Wavelet Features-app_entropy_log_9_coef Wavelet Features-app_entropy_log_10_coef Wavelet Features-app_det_TKEO_mean_1_coef Wavelet Features-app_det_TKEO_mean_2_coef Wavelet Features-app_det_TKEO_mean_3_coef Wavelet Features-app_det_TKEO_mean_4_coef Wavelet Features-app_det_TKEO_mean_5_coef Wavelet Features-app_det_TKEO_mean_6_coef Wavelet Features-app_det_TKEO_mean_7_coef Wavelet Features-app_det_TKEO_mean_8_coef Wavelet Features-app_det_TKEO_mean_9_coef Wavelet Features-app_det_TKEO_mean_10_coef Wavelet Features-app_TKEO_std_1_coef Wavelet Features-app_TKEO_std_2_coef Wavelet Features-app_TKEO_std_3_coef Wavelet Features-app_TKEO_std_4_coef Wavelet Features-app_TKEO_std_5_coef Wavelet Features-app_TKEO_std_6_coef Wavelet Features-app_TKEO_std_7_coef Wavelet Features-app_TKEO_std_8_coef Wavelet Features-app_TKEO_std_9_coef Wavelet Features-app_TKEO_std_10_coef Wavelet Features-Ea2 Wavelet Features-Ed2_1_coef Wavelet Features-Ed2_2_coef Wavelet Features-Ed2_3_coef Wavelet Features-Ed2_4_coef Wavelet Features-Ed2_5_coef Wavelet Features-Ed2_6_coef Wavelet Features-Ed2_7_coef Wavelet Features-Ed2_8_coef Wavelet Features-Ed2_9_coef Wavelet Features-Ed2_10_coef Wavelet Features-det_LT_entropy_shannon_1_coef Wavelet Features-det_LT_entropy_shannon_2_coef Wavelet Features-det_LT_entropy_shannon_3_coef Wavelet Features-det_LT_entropy_shannon_4_coef Wavelet Features-det_LT_entropy_shannon_5_coef Wavelet Features-det_LT_entropy_shannon_6_coef Wavelet Features-det_LT_entropy_shannon_7_coef Wavelet Features-det_LT_entropy_shannon_8_coef ... TQWT Features-tqwt_medianValue_dec_4 TQWT Features-tqwt_medianValue_dec_5 TQWT Features-tqwt_medianValue_dec_6 TQWT Features-tqwt_medianValue_dec_7 TQWT Features-tqwt_medianValue_dec_8 TQWT Features-tqwt_medianValue_dec_9 TQWT Features-tqwt_medianValue_dec_10 TQWT Features-tqwt_medianValue_dec_11 TQWT Features-tqwt_medianValue_dec_12 TQWT Features-tqwt_medianValue_dec_13 TQWT Features-tqwt_medianValue_dec_14 TQWT Features-tqwt_medianValue_dec_15 TQWT Features-tqwt_medianValue_dec_16 TQWT Features-tqwt_medianValue_dec_17 TQWT Features-tqwt_medianValue_dec_18 TQWT Features-tqwt_medianValue_dec_19 TQWT Features-tqwt_medianValue_dec_20 TQWT Features-tqwt_medianValue_dec_21 TQWT Features-tqwt_medianValue_dec_22 TQWT Features-tqwt_medianValue_dec_23 TQWT Features-tqwt_medianValue_dec_24 TQWT Features-tqwt_medianValue_dec_25 TQWT Features-tqwt_medianValue_dec_26 TQWT Features-tqwt_medianValue_dec_27 TQWT Features-tqwt_medianValue_dec_28 TQWT Features-tqwt_medianValue_dec_29 TQWT Features-tqwt_medianValue_dec_30 TQWT Features-tqwt_medianValue_dec_31 TQWT Features-tqwt_medianValue_dec_32 TQWT Features-tqwt_medianValue_dec_33 TQWT Features-tqwt_medianValue_dec_34 TQWT Features-tqwt_medianValue_dec_35 TQWT Features-tqwt_medianValue_dec_36 TQWT Features-tqwt_meanValue_dec_1 TQWT Features-tqwt_meanValue_dec_2 TQWT Features-tqwt_meanValue_dec_3 TQWT Features-tqwt_meanValue_dec_4 TQWT Features-tqwt_meanValue_dec_5 TQWT Features-tqwt_meanValue_dec_6 TQWT Features-tqwt_meanValue_dec_7 TQWT Features-tqwt_meanValue_dec_8 TQWT Features-tqwt_meanValue_dec_9 TQWT Features-tqwt_meanValue_dec_10 TQWT Features-tqwt_meanValue_dec_11 TQWT Features-tqwt_meanValue_dec_12 TQWT Features-tqwt_meanValue_dec_13 TQWT Features-tqwt_meanValue_dec_14 TQWT Features-tqwt_meanValue_dec_15 TQWT Features-tqwt_meanValue_dec_16 TQWT Features-tqwt_meanValue_dec_17 TQWT Features-tqwt_meanValue_dec_18 TQWT Features-tqwt_meanValue_dec_19 TQWT Features-tqwt_meanValue_dec_20 TQWT Features-tqwt_meanValue_dec_21 TQWT Features-tqwt_meanValue_dec_22 TQWT Features-tqwt_meanValue_dec_23 TQWT Features-tqwt_meanValue_dec_24 TQWT Features-tqwt_meanValue_dec_25 TQWT Features-tqwt_meanValue_dec_26 TQWT Features-tqwt_meanValue_dec_27 TQWT Features-tqwt_meanValue_dec_28 TQWT Features-tqwt_meanValue_dec_29 TQWT Features-tqwt_meanValue_dec_30 TQWT Features-tqwt_meanValue_dec_31 TQWT Features-tqwt_meanValue_dec_32 TQWT Features-tqwt_meanValue_dec_33 TQWT Features-tqwt_meanValue_dec_34 TQWT Features-tqwt_meanValue_dec_35 TQWT Features-tqwt_meanValue_dec_36 TQWT Features-tqwt_stdValue_dec_1 TQWT Features-tqwt_stdValue_dec_2 TQWT Features-tqwt_stdValue_dec_3 TQWT Features-tqwt_stdValue_dec_4 TQWT Features-tqwt_stdValue_dec_5 TQWT Features-tqwt_stdValue_dec_6 TQWT Features-tqwt_stdValue_dec_7 TQWT Features-tqwt_stdValue_dec_8 TQWT Features-tqwt_stdValue_dec_9 TQWT Features-tqwt_stdValue_dec_10 TQWT Features-tqwt_stdValue_dec_11 TQWT Features-tqwt_stdValue_dec_12 TQWT Features-tqwt_stdValue_dec_13 TQWT Features-tqwt_stdValue_dec_14 TQWT Features-tqwt_stdValue_dec_15 TQWT Features-tqwt_stdValue_dec_16 TQWT Features-tqwt_stdValue_dec_17 TQWT Features-tqwt_stdValue_dec_18 TQWT Features-tqwt_stdValue_dec_19 TQWT Features-tqwt_stdValue_dec_20 TQWT Features-tqwt_stdValue_dec_21 TQWT Features-tqwt_stdValue_dec_22 TQWT Features-tqwt_stdValue_dec_23 TQWT Features-tqwt_stdValue_dec_24 TQWT Features-tqwt_stdValue_dec_25 TQWT Features-tqwt_stdValue_dec_26 TQWT Features-tqwt_stdValue_dec_27 TQWT Features-tqwt_stdValue_dec_28 TQWT Features-tqwt_stdValue_dec_29 TQWT Features-tqwt_stdValue_dec_30 TQWT Features-tqwt_stdValue_dec_31 TQWT Features-tqwt_stdValue_dec_32 TQWT Features-tqwt_stdValue_dec_33 TQWT Features-tqwt_stdValue_dec_34 TQWT Features-tqwt_stdValue_dec_35 TQWT Features-tqwt_stdValue_dec_36 TQWT Features-tqwt_minValue_dec_1 TQWT Features-tqwt_minValue_dec_2 TQWT Features-tqwt_minValue_dec_3 TQWT Features-tqwt_minValue_dec_4 TQWT Features-tqwt_minValue_dec_5 TQWT Features-tqwt_minValue_dec_6 TQWT Features-tqwt_minValue_dec_7 TQWT Features-tqwt_minValue_dec_8 TQWT Features-tqwt_minValue_dec_9 TQWT Features-tqwt_minValue_dec_10 TQWT Features-tqwt_minValue_dec_11 TQWT Features-tqwt_minValue_dec_12 TQWT Features-tqwt_minValue_dec_13 TQWT Features-tqwt_minValue_dec_14 TQWT Features-tqwt_minValue_dec_15 TQWT Features-tqwt_minValue_dec_16 TQWT Features-tqwt_minValue_dec_17 TQWT Features-tqwt_minValue_dec_18 TQWT Features-tqwt_minValue_dec_19 TQWT Features-tqwt_minValue_dec_20 TQWT Features-tqwt_minValue_dec_21 TQWT Features-tqwt_minValue_dec_22 TQWT Features-tqwt_minValue_dec_23 TQWT Features-tqwt_minValue_dec_24 TQWT Features-tqwt_minValue_dec_25 TQWT Features-tqwt_minValue_dec_26 TQWT Features-tqwt_minValue_dec_27 TQWT Features-tqwt_minValue_dec_28 TQWT Features-tqwt_minValue_dec_29 TQWT Features-tqwt_minValue_dec_30 TQWT Features-tqwt_minValue_dec_31 TQWT Features-tqwt_minValue_dec_32 TQWT Features-tqwt_minValue_dec_33 TQWT Features-tqwt_minValue_dec_34 TQWT Features-tqwt_minValue_dec_35 TQWT Features-tqwt_minValue_dec_36 TQWT Features-tqwt_maxValue_dec_1 TQWT Features-tqwt_maxValue_dec_2 TQWT Features-tqwt_maxValue_dec_3 TQWT Features-tqwt_maxValue_dec_4 TQWT Features-tqwt_maxValue_dec_5 TQWT Features-tqwt_maxValue_dec_6 TQWT Features-tqwt_maxValue_dec_7 TQWT Features-tqwt_maxValue_dec_8 TQWT Features-tqwt_maxValue_dec_9 TQWT Features-tqwt_maxValue_dec_10 TQWT Features-tqwt_maxValue_dec_11 TQWT Features-tqwt_maxValue_dec_12 TQWT Features-tqwt_maxValue_dec_13 TQWT Features-tqwt_maxValue_dec_14 TQWT Features-tqwt_maxValue_dec_15 TQWT Features-tqwt_maxValue_dec_16 TQWT Features-tqwt_maxValue_dec_17 TQWT Features-tqwt_maxValue_dec_18 TQWT Features-tqwt_maxValue_dec_19 TQWT Features-tqwt_maxValue_dec_20 TQWT Features-tqwt_maxValue_dec_21 TQWT Features-tqwt_maxValue_dec_22 TQWT Features-tqwt_maxValue_dec_23 TQWT Features-tqwt_maxValue_dec_24 TQWT Features-tqwt_maxValue_dec_25 TQWT Features-tqwt_maxValue_dec_26 TQWT Features-tqwt_maxValue_dec_27 TQWT Features-tqwt_maxValue_dec_28 TQWT Features-tqwt_maxValue_dec_29 TQWT Features-tqwt_maxValue_dec_30 TQWT Features-tqwt_maxValue_dec_31 TQWT Features-tqwt_maxValue_dec_32 TQWT Features-tqwt_maxValue_dec_33 TQWT Features-tqwt_maxValue_dec_34 TQWT Features-tqwt_maxValue_dec_35 TQWT Features-tqwt_maxValue_dec_36 TQWT Features-tqwt_skewnessValue_dec_1 TQWT Features-tqwt_skewnessValue_dec_2 TQWT Features-tqwt_skewnessValue_dec_3 TQWT Features-tqwt_skewnessValue_dec_4 TQWT Features-tqwt_skewnessValue_dec_5 TQWT Features-tqwt_skewnessValue_dec_6 TQWT Features-tqwt_skewnessValue_dec_7 TQWT Features-tqwt_skewnessValue_dec_8 TQWT Features-tqwt_skewnessValue_dec_9 TQWT Features-tqwt_skewnessValue_dec_10 TQWT Features-tqwt_skewnessValue_dec_11 TQWT Features-tqwt_skewnessValue_dec_12 TQWT Features-tqwt_skewnessValue_dec_13 TQWT Features-tqwt_skewnessValue_dec_14 TQWT Features-tqwt_skewnessValue_dec_15 TQWT Features-tqwt_skewnessValue_dec_16 TQWT Features-tqwt_skewnessValue_dec_17 TQWT Features-tqwt_skewnessValue_dec_18 TQWT Features-tqwt_skewnessValue_dec_19 TQWT Features-tqwt_skewnessValue_dec_20 TQWT Features-tqwt_skewnessValue_dec_21 TQWT Features-tqwt_skewnessValue_dec_22 TQWT Features-tqwt_skewnessValue_dec_23 TQWT Features-tqwt_skewnessValue_dec_24 TQWT Features-tqwt_skewnessValue_dec_25 TQWT Features-tqwt_skewnessValue_dec_26 TQWT Features-tqwt_skewnessValue_dec_27 TQWT Features-tqwt_skewnessValue_dec_28 TQWT Features-tqwt_skewnessValue_dec_29 TQWT Features-tqwt_skewnessValue_dec_30 TQWT Features-tqwt_skewnessValue_dec_31 TQWT Features-tqwt_skewnessValue_dec_32 TQWT Features-tqwt_skewnessValue_dec_33 TQWT Features-tqwt_skewnessValue_dec_34 TQWT Features-tqwt_skewnessValue_dec_35 TQWT Features-tqwt_skewnessValue_dec_36 TQWT Features-tqwt_kurtosisValue_dec_1 TQWT Features-tqwt_kurtosisValue_dec_2 TQWT Features-tqwt_kurtosisValue_dec_3 TQWT Features-tqwt_kurtosisValue_dec_4 TQWT Features-tqwt_kurtosisValue_dec_5 TQWT Features-tqwt_kurtosisValue_dec_6 TQWT Features-tqwt_kurtosisValue_dec_7 TQWT Features-tqwt_kurtosisValue_dec_8 TQWT Features-tqwt_kurtosisValue_dec_9 TQWT Features-tqwt_kurtosisValue_dec_10 TQWT Features-tqwt_kurtosisValue_dec_11 TQWT Features-tqwt_kurtosisValue_dec_12 TQWT Features-tqwt_kurtosisValue_dec_13 TQWT Features-tqwt_kurtosisValue_dec_14 TQWT Features-tqwt_kurtosisValue_dec_15 TQWT Features-tqwt_kurtosisValue_dec_16 TQWT Features-tqwt_kurtosisValue_dec_17 TQWT Features-tqwt_kurtosisValue_dec_18 TQWT Features-tqwt_kurtosisValue_dec_19 TQWT Features-tqwt_kurtosisValue_dec_20 TQWT Features-tqwt_kurtosisValue_dec_21 TQWT Features-tqwt_kurtosisValue_dec_22 TQWT Features-tqwt_kurtosisValue_dec_23 TQWT Features-tqwt_kurtosisValue_dec_24 TQWT Features-tqwt_kurtosisValue_dec_25 TQWT Features-tqwt_kurtosisValue_dec_26 TQWT Features-tqwt_kurtosisValue_dec_27 TQWT Features-tqwt_kurtosisValue_dec_28 TQWT Features-tqwt_kurtosisValue_dec_29 TQWT Features-tqwt_kurtosisValue_dec_30 TQWT Features-tqwt_kurtosisValue_dec_31 TQWT Features-tqwt_kurtosisValue_dec_32 TQWT Features-tqwt_kurtosisValue_dec_33 TQWT Features-tqwt_kurtosisValue_dec_34 TQWT Features-tqwt_kurtosisValue_dec_35 TQWT Features-tqwt_kurtosisValue_dec_36 class
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5 rows × 755 columns

Single Variable Analysis

In [7]:
# Top variables with missing values:
mv = {}
for var in data:
    mv[var] = data[var].isna().sum()

top_missing = sorted(mv.items(), key=operator.itemgetter(1), reverse=True)
if any([nb_missing for nb_missing in mv.values()]):
    print(top_missing)
else:
    print('No missing values in the whole dataset!')
No missing values in the whole dataset!
In [8]:
# Very informative...
data.describe()
Out[8]:
-id -gender Baseline Features-PPE Baseline Features-DFA Baseline Features-RPDE Baseline Features-numPulses Baseline Features-numPeriodsPulses Baseline Features-meanPeriodPulses Baseline Features-stdDevPeriodPulses Baseline Features-locPctJitter Baseline Features-locAbsJitter Baseline Features-rapJitter Baseline Features-ppq5Jitter Baseline Features-ddpJitter Baseline Features-locShimmer Baseline Features-locDbShimmer Baseline Features-apq3Shimmer Baseline Features-apq5Shimmer Baseline Features-apq11Shimmer Baseline Features-ddaShimmer Baseline Features-meanAutoCorrHarmonicity Baseline Features-meanNoiseToHarmHarmonicity Baseline Features-meanHarmToNoiseHarmonicity Intensity Parameters-minIntensity Intensity Parameters-maxIntensity Intensity Parameters-meanIntensity Formant Frequencies-f1 Formant Frequencies-f2 Formant Frequencies-f3 Formant Frequencies-f4 Bandwidth Parameters-b1 Bandwidth Parameters-b2 Bandwidth Parameters-b3 Bandwidth Parameters-b4 Vocal Fold-GQ_prc5_95 Vocal Fold-GQ_std_cycle_open Vocal Fold-GQ_std_cycle_closed Vocal Fold-GNE_mean Vocal Fold-GNE_std Vocal Fold-GNE_SNR_TKEO Vocal Fold-GNE_SNR_SEO Vocal Fold-GNE_NSR_TKEO Vocal Fold-GNE_NSR_SEO Vocal Fold-VFER_mean Vocal Fold-VFER_std Vocal Fold-VFER_entropy Vocal Fold-VFER_SNR_TKEO Vocal Fold-VFER_SNR_SEO Vocal Fold-VFER_NSR_TKEO Vocal Fold-VFER_NSR_SEO Vocal Fold-IMF_SNR_SEO Vocal Fold-IMF_SNR_TKEO Vocal Fold-IMF_SNR_entropy Vocal Fold-IMF_NSR_SEO Vocal Fold-IMF_NSR_TKEO Vocal Fold-IMF_NSR_entropy MFCC -mean_Log_energy MFCC -mean_MFCC_0th_coef MFCC -mean_MFCC_1st_coef MFCC -mean_MFCC_2nd_coef MFCC -mean_MFCC_3rd_coef MFCC -mean_MFCC_4th_coef MFCC -mean_MFCC_5th_coef MFCC -mean_MFCC_6th_coef MFCC -mean_MFCC_7th_coef MFCC -mean_MFCC_8th_coef MFCC -mean_MFCC_9th_coef MFCC -mean_MFCC_10th_coef MFCC -mean_MFCC_11th_coef MFCC -mean_MFCC_12th_coef MFCC -mean_delta_log_energy MFCC -mean_0th_delta MFCC -mean_1st_delta MFCC -mean_2nd_delta MFCC -mean_3rd_delta MFCC -mean_4th_delta MFCC -mean_5th_delta MFCC -mean_6th_delta MFCC -mean_7th_delta MFCC -mean_8th_delta MFCC -mean_9th_delta MFCC -mean_10th_delta MFCC -mean_11th_delta MFCC -mean_12th_delta MFCC -mean_delta_delta_log_energy MFCC -mean_delta_delta_0th MFCC -mean_1st_delta_delta MFCC -mean_2nd_delta_delta MFCC -mean_3rd_delta_delta MFCC -mean_4th_delta_delta MFCC -mean_5th_delta_delta MFCC -mean_6th_delta_delta MFCC -mean_7th_delta_delta MFCC -mean_8th_delta_delta MFCC -mean_9th_delta_delta MFCC -mean_10th_delta_delta MFCC -mean_11th_delta_delta MFCC -mean_12th_delta_delta MFCC -std_Log_energy MFCC -std_MFCC_0th_coef MFCC -std_MFCC_1st_coef MFCC -std_MFCC_2nd_coef MFCC -std_MFCC_3rd_coef MFCC -std_MFCC_4th_coef MFCC -std_MFCC_5th_coef MFCC -std_MFCC_6th_coef MFCC -std_MFCC_7th_coef MFCC -std_MFCC_8th_coef MFCC -std_MFCC_9th_coef MFCC -std_MFCC_10th_coef MFCC -std_MFCC_11th_coef MFCC -std_MFCC_12th_coef MFCC -std_delta_log_energy MFCC -std_0th_delta MFCC -std_1st_delta MFCC -std_2nd_delta MFCC -std_3rd_delta MFCC -std_4th_delta MFCC -std_5th_delta MFCC -std_6th_delta MFCC -std_7th_delta MFCC -std_8th_delta MFCC -std_9th_delta MFCC -std_10th_delta MFCC -std_11th_delta MFCC -std_12th_delta MFCC -std_delta_delta_log_energy MFCC -std_delta_delta_0th MFCC -std_1st_delta_delta MFCC -std_2nd_delta_delta MFCC -std_3rd_delta_delta MFCC -std_4th_delta_delta MFCC -std_5th_delta_delta MFCC -std_6th_delta_delta MFCC -std_7th_delta_delta MFCC -std_8th_delta_delta MFCC -std_9th_delta_delta MFCC -std_10th_delta_delta MFCC -std_11th_delta_delta MFCC -std_12th_delta_delta Wavelet Features-Ea Wavelet Features-Ed_1_coef Wavelet Features-Ed_2_coef Wavelet Features-Ed_3_coef Wavelet Features-Ed_4_coef Wavelet Features-Ed_5_coef Wavelet Features-Ed_6_coef Wavelet Features-Ed_7_coef Wavelet Features-Ed_8_coef Wavelet Features-Ed_9_coef Wavelet Features-Ed_10_coef Wavelet Features-det_entropy_shannon_1_coef Wavelet Features-det_entropy_shannon_2_coef Wavelet Features-det_entropy_shannon_3_coef Wavelet Features-det_entropy_shannon_4_coef Wavelet Features-det_entropy_shannon_5_coef Wavelet Features-det_entropy_shannon_6_coef Wavelet Features-det_entropy_shannon_7_coef Wavelet Features-det_entropy_shannon_8_coef Wavelet Features-det_entropy_shannon_9_coef Wavelet Features-det_entropy_shannon_10_coef Wavelet Features-det_entropy_log_1_coef Wavelet Features-det_entropy_log_2_coef Wavelet Features-det_entropy_log_3_coef Wavelet Features-det_entropy_log_4_coef Wavelet Features-det_entropy_log_5_coef Wavelet Features-det_entropy_log_6_coef Wavelet Features-det_entropy_log_7_coef Wavelet Features-det_entropy_log_8_coef Wavelet Features-det_entropy_log_9_coef Wavelet Features-det_entropy_log_10_coef Wavelet Features-det_TKEO_mean_1_coef Wavelet Features-det_TKEO_mean_2_coef Wavelet Features-det_TKEO_mean_3_coef Wavelet Features-det_TKEO_mean_4_coef Wavelet Features-det_TKEO_mean_5_coef Wavelet Features-det_TKEO_mean_6_coef Wavelet Features-det_TKEO_mean_7_coef Wavelet Features-det_TKEO_mean_8_coef Wavelet Features-det_TKEO_mean_9_coef Wavelet Features-det_TKEO_mean_10_coef Wavelet Features-det_TKEO_std_1_coef Wavelet Features-det_TKEO_std_2_coef Wavelet Features-det_TKEO_std_3_coef Wavelet Features-det_TKEO_std_4_coef Wavelet Features-det_TKEO_std_5_coef Wavelet Features-det_TKEO_std_6_coef Wavelet Features-det_TKEO_std_7_coef Wavelet Features-det_TKEO_std_8_coef Wavelet Features-det_TKEO_std_9_coef Wavelet Features-det_TKEO_std_10_coef Wavelet Features-app_entropy_shannon_1_coef Wavelet Features-app_entropy_shannon_2_coef Wavelet Features-app_entropy_shannon_3_coef Wavelet Features-app_entropy_shannon_4_coef Wavelet Features-app_entropy_shannon_5_coef Wavelet Features-app_entropy_shannon_6_coef Wavelet Features-app_entropy_shannon_7_coef Wavelet Features-app_entropy_shannon_8_coef Wavelet Features-app_entropy_shannon_9_coef Wavelet Features-app_entropy_shannon_10_coef Wavelet Features-app_entropy_log_1_coef Wavelet Features-app_entropy_log_2_coef Wavelet Features-app_entropy_log_3_coef Wavelet Features-app_entropy_log_4_coef Wavelet Features-app_entropy_log_5_coef Wavelet Features-app_entropy_log_6_coef Wavelet Features-app_entropy_log_7_coef Wavelet Features-app_entropy_log_8_coef Wavelet Features-app_entropy_log_9_coef Wavelet Features-app_entropy_log_10_coef Wavelet Features-app_det_TKEO_mean_1_coef Wavelet Features-app_det_TKEO_mean_2_coef Wavelet Features-app_det_TKEO_mean_3_coef Wavelet Features-app_det_TKEO_mean_4_coef Wavelet Features-app_det_TKEO_mean_5_coef Wavelet Features-app_det_TKEO_mean_6_coef Wavelet Features-app_det_TKEO_mean_7_coef Wavelet Features-app_det_TKEO_mean_8_coef Wavelet Features-app_det_TKEO_mean_9_coef Wavelet Features-app_det_TKEO_mean_10_coef Wavelet Features-app_TKEO_std_1_coef Wavelet Features-app_TKEO_std_2_coef Wavelet Features-app_TKEO_std_3_coef Wavelet Features-app_TKEO_std_4_coef Wavelet Features-app_TKEO_std_5_coef Wavelet Features-app_TKEO_std_6_coef Wavelet Features-app_TKEO_std_7_coef Wavelet Features-app_TKEO_std_8_coef Wavelet Features-app_TKEO_std_9_coef Wavelet Features-app_TKEO_std_10_coef Wavelet Features-Ea2 Wavelet Features-Ed2_1_coef Wavelet Features-Ed2_2_coef Wavelet Features-Ed2_3_coef Wavelet Features-Ed2_4_coef Wavelet Features-Ed2_5_coef Wavelet Features-Ed2_6_coef Wavelet Features-Ed2_7_coef Wavelet Features-Ed2_8_coef Wavelet Features-Ed2_9_coef Wavelet Features-Ed2_10_coef Wavelet Features-det_LT_entropy_shannon_1_coef Wavelet Features-det_LT_entropy_shannon_2_coef Wavelet Features-det_LT_entropy_shannon_3_coef Wavelet Features-det_LT_entropy_shannon_4_coef Wavelet Features-det_LT_entropy_shannon_5_coef Wavelet Features-det_LT_entropy_shannon_6_coef Wavelet Features-det_LT_entropy_shannon_7_coef Wavelet Features-det_LT_entropy_shannon_8_coef ... TQWT Features-tqwt_medianValue_dec_4 TQWT Features-tqwt_medianValue_dec_5 TQWT Features-tqwt_medianValue_dec_6 TQWT Features-tqwt_medianValue_dec_7 TQWT Features-tqwt_medianValue_dec_8 TQWT Features-tqwt_medianValue_dec_9 TQWT Features-tqwt_medianValue_dec_10 TQWT Features-tqwt_medianValue_dec_11 TQWT Features-tqwt_medianValue_dec_12 TQWT Features-tqwt_medianValue_dec_13 TQWT Features-tqwt_medianValue_dec_14 TQWT Features-tqwt_medianValue_dec_15 TQWT Features-tqwt_medianValue_dec_16 TQWT Features-tqwt_medianValue_dec_17 TQWT Features-tqwt_medianValue_dec_18 TQWT Features-tqwt_medianValue_dec_19 TQWT Features-tqwt_medianValue_dec_20 TQWT Features-tqwt_medianValue_dec_21 TQWT Features-tqwt_medianValue_dec_22 TQWT Features-tqwt_medianValue_dec_23 TQWT Features-tqwt_medianValue_dec_24 TQWT Features-tqwt_medianValue_dec_25 TQWT Features-tqwt_medianValue_dec_26 TQWT Features-tqwt_medianValue_dec_27 TQWT Features-tqwt_medianValue_dec_28 TQWT Features-tqwt_medianValue_dec_29 TQWT Features-tqwt_medianValue_dec_30 TQWT Features-tqwt_medianValue_dec_31 TQWT Features-tqwt_medianValue_dec_32 TQWT Features-tqwt_medianValue_dec_33 TQWT Features-tqwt_medianValue_dec_34 TQWT Features-tqwt_medianValue_dec_35 TQWT Features-tqwt_medianValue_dec_36 TQWT Features-tqwt_meanValue_dec_1 TQWT Features-tqwt_meanValue_dec_2 TQWT Features-tqwt_meanValue_dec_3 TQWT Features-tqwt_meanValue_dec_4 TQWT Features-tqwt_meanValue_dec_5 TQWT Features-tqwt_meanValue_dec_6 TQWT Features-tqwt_meanValue_dec_7 TQWT Features-tqwt_meanValue_dec_8 TQWT Features-tqwt_meanValue_dec_9 TQWT Features-tqwt_meanValue_dec_10 TQWT Features-tqwt_meanValue_dec_11 TQWT Features-tqwt_meanValue_dec_12 TQWT Features-tqwt_meanValue_dec_13 TQWT Features-tqwt_meanValue_dec_14 TQWT Features-tqwt_meanValue_dec_15 TQWT Features-tqwt_meanValue_dec_16 TQWT Features-tqwt_meanValue_dec_17 TQWT Features-tqwt_meanValue_dec_18 TQWT Features-tqwt_meanValue_dec_19 TQWT Features-tqwt_meanValue_dec_20 TQWT Features-tqwt_meanValue_dec_21 TQWT Features-tqwt_meanValue_dec_22 TQWT Features-tqwt_meanValue_dec_23 TQWT Features-tqwt_meanValue_dec_24 TQWT Features-tqwt_meanValue_dec_25 TQWT Features-tqwt_meanValue_dec_26 TQWT Features-tqwt_meanValue_dec_27 TQWT Features-tqwt_meanValue_dec_28 TQWT Features-tqwt_meanValue_dec_29 TQWT Features-tqwt_meanValue_dec_30 TQWT Features-tqwt_meanValue_dec_31 TQWT Features-tqwt_meanValue_dec_32 TQWT Features-tqwt_meanValue_dec_33 TQWT Features-tqwt_meanValue_dec_34 TQWT Features-tqwt_meanValue_dec_35 TQWT Features-tqwt_meanValue_dec_36 TQWT Features-tqwt_stdValue_dec_1 TQWT Features-tqwt_stdValue_dec_2 TQWT Features-tqwt_stdValue_dec_3 TQWT Features-tqwt_stdValue_dec_4 TQWT Features-tqwt_stdValue_dec_5 TQWT Features-tqwt_stdValue_dec_6 TQWT Features-tqwt_stdValue_dec_7 TQWT Features-tqwt_stdValue_dec_8 TQWT Features-tqwt_stdValue_dec_9 TQWT Features-tqwt_stdValue_dec_10 TQWT Features-tqwt_stdValue_dec_11 TQWT Features-tqwt_stdValue_dec_12 TQWT Features-tqwt_stdValue_dec_13 TQWT Features-tqwt_stdValue_dec_14 TQWT Features-tqwt_stdValue_dec_15 TQWT Features-tqwt_stdValue_dec_16 TQWT Features-tqwt_stdValue_dec_17 TQWT Features-tqwt_stdValue_dec_18 TQWT Features-tqwt_stdValue_dec_19 TQWT Features-tqwt_stdValue_dec_20 TQWT Features-tqwt_stdValue_dec_21 TQWT Features-tqwt_stdValue_dec_22 TQWT Features-tqwt_stdValue_dec_23 TQWT Features-tqwt_stdValue_dec_24 TQWT Features-tqwt_stdValue_dec_25 TQWT Features-tqwt_stdValue_dec_26 TQWT Features-tqwt_stdValue_dec_27 TQWT Features-tqwt_stdValue_dec_28 TQWT Features-tqwt_stdValue_dec_29 TQWT Features-tqwt_stdValue_dec_30 TQWT Features-tqwt_stdValue_dec_31 TQWT Features-tqwt_stdValue_dec_32 TQWT Features-tqwt_stdValue_dec_33 TQWT Features-tqwt_stdValue_dec_34 TQWT Features-tqwt_stdValue_dec_35 TQWT Features-tqwt_stdValue_dec_36 TQWT Features-tqwt_minValue_dec_1 TQWT Features-tqwt_minValue_dec_2 TQWT Features-tqwt_minValue_dec_3 TQWT Features-tqwt_minValue_dec_4 TQWT Features-tqwt_minValue_dec_5 TQWT Features-tqwt_minValue_dec_6 TQWT Features-tqwt_minValue_dec_7 TQWT Features-tqwt_minValue_dec_8 TQWT Features-tqwt_minValue_dec_9 TQWT Features-tqwt_minValue_dec_10 TQWT Features-tqwt_minValue_dec_11 TQWT Features-tqwt_minValue_dec_12 TQWT Features-tqwt_minValue_dec_13 TQWT Features-tqwt_minValue_dec_14 TQWT Features-tqwt_minValue_dec_15 TQWT Features-tqwt_minValue_dec_16 TQWT Features-tqwt_minValue_dec_17 TQWT Features-tqwt_minValue_dec_18 TQWT Features-tqwt_minValue_dec_19 TQWT Features-tqwt_minValue_dec_20 TQWT Features-tqwt_minValue_dec_21 TQWT Features-tqwt_minValue_dec_22 TQWT Features-tqwt_minValue_dec_23 TQWT Features-tqwt_minValue_dec_24 TQWT Features-tqwt_minValue_dec_25 TQWT Features-tqwt_minValue_dec_26 TQWT Features-tqwt_minValue_dec_27 TQWT Features-tqwt_minValue_dec_28 TQWT Features-tqwt_minValue_dec_29 TQWT Features-tqwt_minValue_dec_30 TQWT Features-tqwt_minValue_dec_31 TQWT Features-tqwt_minValue_dec_32 TQWT Features-tqwt_minValue_dec_33 TQWT Features-tqwt_minValue_dec_34 TQWT Features-tqwt_minValue_dec_35 TQWT Features-tqwt_minValue_dec_36 TQWT Features-tqwt_maxValue_dec_1 TQWT Features-tqwt_maxValue_dec_2 TQWT Features-tqwt_maxValue_dec_3 TQWT Features-tqwt_maxValue_dec_4 TQWT Features-tqwt_maxValue_dec_5 TQWT Features-tqwt_maxValue_dec_6 TQWT Features-tqwt_maxValue_dec_7 TQWT Features-tqwt_maxValue_dec_8 TQWT Features-tqwt_maxValue_dec_9 TQWT Features-tqwt_maxValue_dec_10 TQWT Features-tqwt_maxValue_dec_11 TQWT Features-tqwt_maxValue_dec_12 TQWT Features-tqwt_maxValue_dec_13 TQWT Features-tqwt_maxValue_dec_14 TQWT Features-tqwt_maxValue_dec_15 TQWT Features-tqwt_maxValue_dec_16 TQWT Features-tqwt_maxValue_dec_17 TQWT Features-tqwt_maxValue_dec_18 TQWT Features-tqwt_maxValue_dec_19 TQWT Features-tqwt_maxValue_dec_20 TQWT Features-tqwt_maxValue_dec_21 TQWT Features-tqwt_maxValue_dec_22 TQWT Features-tqwt_maxValue_dec_23 TQWT Features-tqwt_maxValue_dec_24 TQWT Features-tqwt_maxValue_dec_25 TQWT Features-tqwt_maxValue_dec_26 TQWT Features-tqwt_maxValue_dec_27 TQWT Features-tqwt_maxValue_dec_28 TQWT Features-tqwt_maxValue_dec_29 TQWT Features-tqwt_maxValue_dec_30 TQWT Features-tqwt_maxValue_dec_31 TQWT Features-tqwt_maxValue_dec_32 TQWT Features-tqwt_maxValue_dec_33 TQWT Features-tqwt_maxValue_dec_34 TQWT Features-tqwt_maxValue_dec_35 TQWT Features-tqwt_maxValue_dec_36 TQWT Features-tqwt_skewnessValue_dec_1 TQWT Features-tqwt_skewnessValue_dec_2 TQWT Features-tqwt_skewnessValue_dec_3 TQWT Features-tqwt_skewnessValue_dec_4 TQWT Features-tqwt_skewnessValue_dec_5 TQWT Features-tqwt_skewnessValue_dec_6 TQWT Features-tqwt_skewnessValue_dec_7 TQWT Features-tqwt_skewnessValue_dec_8 TQWT Features-tqwt_skewnessValue_dec_9 TQWT Features-tqwt_skewnessValue_dec_10 TQWT Features-tqwt_skewnessValue_dec_11 TQWT Features-tqwt_skewnessValue_dec_12 TQWT Features-tqwt_skewnessValue_dec_13 TQWT Features-tqwt_skewnessValue_dec_14 TQWT Features-tqwt_skewnessValue_dec_15 TQWT Features-tqwt_skewnessValue_dec_16 TQWT Features-tqwt_skewnessValue_dec_17 TQWT Features-tqwt_skewnessValue_dec_18 TQWT Features-tqwt_skewnessValue_dec_19 TQWT Features-tqwt_skewnessValue_dec_20 TQWT Features-tqwt_skewnessValue_dec_21 TQWT Features-tqwt_skewnessValue_dec_22 TQWT Features-tqwt_skewnessValue_dec_23 TQWT Features-tqwt_skewnessValue_dec_24 TQWT Features-tqwt_skewnessValue_dec_25 TQWT Features-tqwt_skewnessValue_dec_26 TQWT Features-tqwt_skewnessValue_dec_27 TQWT Features-tqwt_skewnessValue_dec_28 TQWT Features-tqwt_skewnessValue_dec_29 TQWT Features-tqwt_skewnessValue_dec_30 TQWT Features-tqwt_skewnessValue_dec_31 TQWT Features-tqwt_skewnessValue_dec_32 TQWT Features-tqwt_skewnessValue_dec_33 TQWT Features-tqwt_skewnessValue_dec_34 TQWT Features-tqwt_skewnessValue_dec_35 TQWT Features-tqwt_skewnessValue_dec_36 TQWT Features-tqwt_kurtosisValue_dec_1 TQWT Features-tqwt_kurtosisValue_dec_2 TQWT Features-tqwt_kurtosisValue_dec_3 TQWT Features-tqwt_kurtosisValue_dec_4 TQWT Features-tqwt_kurtosisValue_dec_5 TQWT Features-tqwt_kurtosisValue_dec_6 TQWT Features-tqwt_kurtosisValue_dec_7 TQWT Features-tqwt_kurtosisValue_dec_8 TQWT Features-tqwt_kurtosisValue_dec_9 TQWT Features-tqwt_kurtosisValue_dec_10 TQWT Features-tqwt_kurtosisValue_dec_11 TQWT Features-tqwt_kurtosisValue_dec_12 TQWT Features-tqwt_kurtosisValue_dec_13 TQWT Features-tqwt_kurtosisValue_dec_14 TQWT Features-tqwt_kurtosisValue_dec_15 TQWT Features-tqwt_kurtosisValue_dec_16 TQWT Features-tqwt_kurtosisValue_dec_17 TQWT Features-tqwt_kurtosisValue_dec_18 TQWT Features-tqwt_kurtosisValue_dec_19 TQWT Features-tqwt_kurtosisValue_dec_20 TQWT Features-tqwt_kurtosisValue_dec_21 TQWT Features-tqwt_kurtosisValue_dec_22 TQWT Features-tqwt_kurtosisValue_dec_23 TQWT Features-tqwt_kurtosisValue_dec_24 TQWT Features-tqwt_kurtosisValue_dec_25 TQWT Features-tqwt_kurtosisValue_dec_26 TQWT Features-tqwt_kurtosisValue_dec_27 TQWT Features-tqwt_kurtosisValue_dec_28 TQWT Features-tqwt_kurtosisValue_dec_29 TQWT Features-tqwt_kurtosisValue_dec_30 TQWT Features-tqwt_kurtosisValue_dec_31 TQWT Features-tqwt_kurtosisValue_dec_32 TQWT Features-tqwt_kurtosisValue_dec_33 TQWT Features-tqwt_kurtosisValue_dec_34 TQWT Features-tqwt_kurtosisValue_dec_35 TQWT Features-tqwt_kurtosisValue_dec_36 class
count 756.000000 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 ... 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 756.000000 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 7.560000e+02 756.000000
mean 125.500000 0.515873 9.281230e-16 -1.379261e-15 -1.879743e-17 -7.518971e-17 -1.691768e-16 -1.409807e-16 -2.349678e-17 3.289550e-17 -9.868649e-17 5.639228e-17 -1.409807e-17 0.000000 -4.934325e-17 -2.349678e-17 9.398713e-18 8.693810e-17 -2.678633e-16 7.753939e-17 -8.693810e-16 -2.114711e-17 2.208698e-16 -1.292323e-16 9.657178e-16 4.182427e-16 -2.349678e-18 6.861061e-16 -2.819614e-16 2.631640e-16 2.349678e-18 -3.994453e-17 5.874196e-17 -6.814067e-17 -6.767074e-16 -2.819614e-17 0.000000 1.010362e-16 1.550788e-16 -1.127846e-16 -3.383537e-16 6.015177e-16 1.654174e-15 -5.169292e-17 -1.997227e-17 1.409807e-17 -1.644775e-16 4.934325e-17 1.355764e-15 7.941913e-16 7.049035e-18 3.172066e-17 5.639228e-17 4.617118e-16 -1.503794e-16 -4.534879e-16 -1.737587e-15 1.409807e-17 1.043257e-15 -1.879743e-17 -9.398713e-18 -3.759485e-17 -9.398713e-18 -2.208698e-16 -9.398713e-18 -1.409807e-17 -2.349678e-18 6.579099e-17 4.111937e-18 1.879743e-17 -1.879743e-17 -2.819614e-17 0.000000 3.524518e-18 -2.114711e-17 4.699357e-18 4.699357e-18 3.524518e-18 4.229421e-17 1.644775e-17 -4.699357e-18 2.349678e-17 2.114711e-17 -9.398713e-18 -4.699357e-18 0.000000 0.000000 2.349678e-17 -2.349678e-18 -1.057355e-17 4.699357e-18 -2.819614e-17 -1.409807e-17 -2.114711e-17 -1.292323e-17 1.409807e-17 -1.644775e-17 -3.759485e-17 -8.223874e-17 -7.401487e-17 -2.584646e-16 -1.785756e-16 -3.242556e-16 6.226648e-17 -1.398059e-16 -1.656523e-16 3.524518e-18 7.871423e-17 3.289550e-17 4.464389e-17 1.997227e-16 9.868649e-17 -1.080852e-16 -1.668272e-16 4.699357e-17 -3.524518e-17 -1.597781e-16 -6.579099e-17 -2.114711e-16 -4.393899e-16 -1.268826e-16 -3.336543e-16 -3.277801e-16 -5.639228e-17 -1.656523e-16 -8.458842e-17 7.049035e-17 7.518971e-17 -1.127846e-16 4.182427e-16 -2.349678e-16 2.349678e-16 -1.104349e-16 -1.973730e-16 7.518971e-17 4.041447e-16 -2.819614e-17 -1.973730e-16 4.511382e-16 5.639228e-16 -1.544209e-14 2.349678e-17 -4.699357e-18 0.000000 -1.409807e-17 -4.699357e-18 2.349678e-18 2.232194e-17 -4.934325e-17 -4.699357e-18 3.759485e-17 9.398713e-18 0.000000 -1.409807e-17 3.524518e-17 -1.879743e-17 4.699357e-18 7.049035e-18 1.644775e-17 1.644775e-17 -2.349678e-17 2.255691e-16 1.832749e-16 -1.409807e-17 -7.753939e-17 2.349678e-18 1.409807e-17 -2.349678e-18 -4.934325e-17 -7.753939e-17 -7.518971e-17 -9.398713e-18 4.699357e-18 0.000000 3.994453e-17 -7.049035e-18 2.819614e-17 -1.527291e-17 -9.398713e-18 -4.934325e-17 4.699357e-18 1.409807e-17 -3.994453e-17 2.349678e-17 -3.289550e-17 1.409807e-17 -4.699357e-18 -9.398713e-18 9.398713e-18 2.584646e-17 -1.409807e-17 -1.879743e-17 -1.033858e-16 2.349678e-17 -7.988906e-17 -1.362813e-16 -7.988906e-17 0.000000 5.639228e-17 8.458842e-17 1.879743e-17 7.330996e-16 -9.398713e-17 3.947460e-16 7.894919e-16 -2.288587e-15 -1.080852e-16 4.680559e-15 -2.702130e-15 -1.738762e-15 -4.332807e-15 -1.879743e-17 -4.699357e-17 2.819614e-17 1.174839e-16 7.988906e-17 4.699357e-18 4.699357e-18 7.049035e-17 3.759485e-17 -1.221833e-16 -8.928778e-17 -4.699357e-18 7.049035e-17 7.518971e-17 -1.550788e-16 -9.398713e-17 -6.579099e-17 2.490659e-16 2.725627e-16 -1.926736e-16 -1.132672e-12 1.409807e-17 -9.398713e-18 2.349678e-18 -1.762259e-17 -1.409807e-17 1.409807e-17 5.697970e-17 3.054582e-17 -4.699357e-18 -9.398713e-18 -1.174839e-18 -2.584646e-17 -4.699357e-17 -7.049035e-18 -4.699357e-18 0.000000 -1.527291e-17 -2.349678e-18 ... 0.000000 1.409807e-17 9.398713e-18 2.349678e-18 1.409807e-17 0.000000 -4.699357e-18 -1.057355e-17 -1.174839e-17 1.527291e-17 -4.699357e-18 4.699357e-18 1.174839e-18 9.398713e-18 4.699357e-18 0.000000 9.398713e-18 1.292323e-17 9.398713e-18 -6.461615e-18 9.398713e-18 -1.409807e-17 -4.699357e-18 -4.699357e-18 1.879743e-17 -4.699357e-18 -9.398713e-18 1.174839e-17 -9.398713e-18 -1.409807e-17 -4.699357e-18 -2.349678e-18 -7.284003e-17 3.524518e-18 -1.409807e-17 -9.398713e-18 9.398713e-18 -4.699357e-18 -7.049035e-18 1.174839e-17 -2.290936e-17 -1.292323e-17 -4.699357e-18 -4.699357e-18 -9.398713e-18 2.819614e-17 1.174839e-17 -2.349678e-18 0.000000 1.879743e-17 -9.398713e-18 -4.699357e-18 -1.174839e-18 1.409807e-17 2.349678e-18 -7.049035e-18 7.049035e-18 -1.174839e-18 9.398713e-18 3.524518e-18 -1.292323e-17 8.811294e-18 -1.468549e-17 -4.699357e-18 7.049035e-18 -7.049035e-18 7.049035e-18 9.398713e-18 -2.114711e-17 4.229421e-17 -7.049035e-18 -1.151342e-16 1.362813e-16 -1.644775e-16 -1.127846e-16 -1.691768e-16 -1.597781e-16 1.221833e-16 -6.579099e-17 1.879743e-17 -8.458842e-17 -1.362813e-16 2.467162e-17 5.874196e-18 -1.574285e-16 -6.109164e-17 1.503794e-16 -4.699357e-18 1.409807e-16 1.127846e-16 9.398713e-17 5.639228e-17 -2.114711e-17 1.879743e-17 -8.223874e-17 9.398713e-18 3.289550e-17 -9.398713e-18 2.819614e-17 1.879743e-17 0.000000 -9.398713e-18 1.879743e-17 3.759485e-17 -3.759485e-17 1.127846e-16 7.518971e-17 -1.879743e-17 9.868649e-17 7.049035e-17 6.109164e-17 1.691768e-16 2.819614e-17 -2.349678e-16 1.691768e-16 -1.597781e-16 -9.398713e-17 9.398713e-17 -2.349678e-18 2.396672e-16 3.289550e-17 6.109164e-17 2.561149e-16 -2.161704e-16 7.518971e-17 7.518971e-17 -2.161704e-16 -1.268826e-16 -2.114711e-17 -6.931551e-17 1.879743e-17 -3.289550e-17 0.000000 -4.699357e-18 -1.033858e-16 -9.398713e-18 9.398713e-17 -9.398713e-18 -9.398713e-17 1.879743e-17 1.033858e-16 -1.033858e-16 -6.579099e-17 3.759485e-17 -1.268826e-16 -1.221833e-16 -6.579099e-17 1.738762e-16 0.000000 5.639228e-17 4.699357e-17 1.503794e-16 4.229421e-17 -4.699357e-17 1.879743e-17 -2.138207e-16 9.163746e-17 -1.997227e-16 -8.458842e-17 -2.349678e-17 9.398713e-18 3.101575e-16 -4.699357e-17 -8.928778e-17 2.020723e-16 -3.289550e-17 -1.033858e-16 -4.699357e-17 -1.080852e-16 -6.579099e-17 1.879743e-17 -6.579099e-17 1.879743e-17 -9.398713e-18 1.879743e-17 3.759485e-17 8.458842e-17 -4.699357e-18 9.398713e-18 -4.699357e-18 -9.398713e-18 2.349678e-18 -2.349678e-18 0.000000 -1.174839e-17 0.000000 1.409807e-17 1.174839e-17 9.398713e-18 2.349678e-18 9.398713e-18 -9.398713e-18 1.174839e-17 -2.349678e-18 -9.398713e-18 1.292323e-17 -1.292323e-17 -1.409807e-17 5.874196e-18 0.000000 -1.174839e-17 0.000000 4.699357e-18 1.527291e-17 2.114711e-17 8.223874e-18 -8.223874e-18 0.000000 0.000000 1.292323e-17 -1.527291e-17 -4.699357e-18 -1.644775e-17 -1.174839e-17 -2.114711e-17 -1.174839e-17 -7.049035e-18 0.000000 -4.699357e-18 -1.879743e-17 -2.819614e-17 0.000000 -3.289550e-17 -1.879743e-17 -2.584646e-17 -5.639228e-17 -9.633681e-17 -7.049035e-18 1.174839e-16 9.398713e-17 -1.550788e-16 -9.398713e-17 1.362813e-16 -2.420169e-16 -6.344132e-17 -1.409807e-16 -4.581873e-17 -1.174839e-17 4.229421e-17 4.229421e-17 -2.114711e-17 -5.639228e-17 8.458842e-17 5.874196e-17 -2.349678e-17 -7.988906e-17 2.819614e-17 -7.049035e-17 -9.398713e-17 0.746032
std 72.793721 0.500079 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 1.000000e+00 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4.984571e+00 4.073451e+00 6.268050e+00 7.301752e+00 4.270367e+00 4.787305e+00 3.176332e+00 4.883729 4.970677 6.344986e+00 4.352181e+00 5.751510e+00 4.073437e+00 7.124646e+00 9.630540e+00 3.789214e+00 3.760308e+00 4.518565e+00 4.131794e+00 4.212401e+00 1.217601e+01 1.087868e+01 5.815372e+00 4.106890e+00 3.415991e+00 4.284723e+00 6.218142e+00 9.650070e+00 4.672178e+00 5.233845e+00 5.155851e+00 4.094865e+00 5.769086e+00 4.464811e+00 9.812636e+00 8.195686e+00 6.130796e+00 6.045899e+00 4.549485e+00 4.425635e+00 5.977212e+00 4.877276e+00 5.301272e+00 3.738998e+00 3.925432e+00 3.617139e+00 4.285379e+00 3.631350e+00 6.886728e+00 5.438746e+00 6.019099e+00 6.624469e+00 4.271759e+00 4.339082e+00 4.836055e+00 4.530665e+00 5.241063e+00 3.328993e+00 3.496338e+00 3.280664e+00 4.226261e+00 3.890516e+00 2.223036e-01 1.919040e+01 1.828688e+01 24.120739 1.825025e+01 1.566414e+01 1.373636e+01 1.858991e+01 1.321092e+01 2.202102e+01 1.103760e+01 1.131476e-01 0.123267 1.245066e-01 1.919915e-01 1.891819e-01 2.003716e-01 1.361161e-01 1.343044e-01 2.119552e-01 1.639597e-01 5.230622e+00 5.512491e+00 5.493555e+00 4.283031e+00 4.015771e+00 4.072923e+00 3.553482e+00 3.616239e+00 3.333644e+00 2.880718e+00 1.740177e+01 2.130543e+01 24.764633 1.924813e+01 1.666114e+01 1.234808e+01 2.024034e+01 2.141820e+01 1.463124e+01 1.588774e+01 1.781082e+01 1.836533e+01 1.802083e+01 1.744623e+01 1.794272e+01 1.512253e+01 2.044726e+01 2.122703e+01 1.160587e+01 1.629479e+01 1.292051e+00 1.297461e+00 1.297582e+00 1.304788e+00 1.307906e+00 1.312577e+00 1.314515 1.329327e+00 1.332109e+00 1.337836e+00 2.955678e+00 3.025028e+00 3.156487e+00 3.361382e+00 3.533585e+00 3.595228e+00 3.599136e+00 3.609663e+00 3.610216e+00 3.611576e+00 1.729143e+01 9.330183e+00 8.152467e+00 7.854522e+00 8.102761e+00 8.277520e+00 8.336664e+00 8.573164e+00 8.572854e+00 8.686621e+00 1.190746e+01 9.803351e+00 1.126424e+01 7.693662e+00 7.804807e+00 7.814430e+00 9.412895e+00 8.307819e+00 8.993771e+00 8.715589e+00 2.367647e-01 1.694761e+01 1.853857e+01 2.115562e+01 1.182654e+01 1.714296e+01 1.273285e+01 1.849157e+01 1.654078e+01 1.433311e+01 1.612350e+01 1.243844e+01 1.044140e+01 5.400953e+00 2.201343e+00 9.999016e-01 0.597005 3.061742e-01 1.676776e-01 ... 8.866640 6.149087e+00 7.516680e+00 7.620454e+00 4.883328e+00 7.501552 5.995694e+00 5.817866e+00 8.209057e+00 7.122809e+00 6.323835e+00 5.401225e+00 6.251372e+00 1.287424e+01 6.929373e+00 4.715551 8.641966e+00 9.251115e+00 6.164635e+00 1.003335e+01 6.446794e+00 7.230630e+00 5.671736e+00 5.671369e+00 1.033396e+01 4.211156e+00 1.728028e+01 1.206372e+01 6.742188e+00 9.501409e+00 1.222318e+01 1.401457e+01 4.788474e+00 5.398157e+00 7.501940e+00 3.901522e+00 7.846588e+00 9.224017e+00 8.244040e+00 5.199979e+00 6.421131e+00 5.221020e+00 5.046516e+00 5.078743e+00 9.636133e+00 5.872087e+00 4.509641e+00 4.515540e+00 11.599627 3.999169e+00 5.609059e+00 8.254708e+00 6.954875e+00 5.395971e+00 4.960658e+00 6.691266e+00 4.524113e+00 4.780221e+00 6.317330e+00 8.365068e+00 6.784725e+00 1.774155e+01 1.057408e+01 8.171153e+00 6.846858e+00 4.892877e+00 5.837438e+00 5.161361e+00 4.930098e+00 6.298825e+00 6.221575e+00 8.452494e+00 9.259093e+00 1.014958e+01 1.176962e+01 9.677953e+00 8.782601e+00 4.702626e+00 5.719137e+00 5.893312e+00 8.755445e+00 8.252952e+00 4.903392e+00 3.980163e+00 3.761566e+00 4.415107e+00 4.313335e+00 5.357733e+00 5.837377e+00 6.916904e+00 5.267815e+00 5.273369e+00 5.390048e+00 3.997296e+00 4.608102e+00 6.560872e+00 8.428165e+00 1.576739e+01 1.569974e+01 1.355104e+01 20.109584 1.950296e+01 9.930567e+00 8.316857e+00 8.284889e+00 1.113962e+00 1.132630e+00 1.113389e+00 1.058390e+00 9.725829e-01 9.361597e-01 1.230788e+00 1.270128e+00 1.302586e+00 1.275491e+00 1.195827e+00 1.174133e+00 1.219741e+00 1.389264e+00 1.471518e+00 1.521012e+00 1.636254e+00 1.651230e+00 1.562476e+00 1.567391e+00 1.526752e+00 1.508872e+00 1.325664e+00 1.217251e+00 1.165245e+00 1.015967e+00 7.293676e-01 0.610275 5.598867e-01 6.974352e-01 7.442011e-01 6.189307e-01 5.899645e-01 6.302324e-01 6.165518e-01 6.183483e-01 4.408798e+00 7.086973e+00 7.920852e+00 8.705702e+00 1.108429e+01 1.349879e+01 8.233787e+00 8.435399 4.813826e+00 5.355225e+00 5.156501e+00 5.705233e+00 6.088928e+00 3.749417e+00 3.786073e+00 4.441439e+00 5.013204e+00 3.878560e+00 4.586958e+00 7.784314e+00 5.733749e+00 6.045451e+00 7.166991e+00 5.192020e+00 3.805066e+00 4.292722e+00 6.361852e+00 8.620897e+00 1.416885e+01 1.503512e+01 1.088529e+01 1.683112e+01 1.665822e+01 8.519882e+00 8.161791e+00 8.770184e+00 6.676792e+00 7.351423e+00 2.234013e+01 8.207517e+00 2.343324e+01 1.190151e+01 7.663797 2.126832e+01 10.092639 5.991987e+00 5.175751e+00 1.408162e+01 9.454969e+00 1.498544e+01 8.066416e+00 5.828973e+00 1.089477e+01 1.153038e+01 6.242888e+00 3.772008e+00 7.016286e+00 9.674621e+00 12.996211 2.696701e+00 11.128145 1.561528e+01 4.550817e+00 3.797695e+00 3.806105e+00 8.225420e+00 3.946313 3.712681 3.373332e+00 2.856284e+00 2.447626e+00 2.467867e+00 8.096677e+00 7.415644e+00 7.223287e+00 7.110503e+00 7.067843 8.077887e+00 1.359684e+01 2.104141e+01 21.892656 2.148404e+01 1.720099e+01 1.381578e+01 1.799064e+01 2.399740e+01 1.839530e+01 1.656452e+01 1.820728e+01 1.855637e+01 1.645478e+01 1.644003e+01 1.352978e+01 1.260913e+01 2.360525e+01 1.935638e+01 1.112618e+01 8.389025e+00 7.651276e+00 5.057983e+00 5.531429e+00 4.031528e+00 4.406607e+00 4.124732e+00 3.742389e+00 3.002580e+00 2.964928e+00 3.649985e+00 1.000000

8 rows × 755 columns

In [9]:
y = data[['class']]

target_count = pd.value_counts(y.values.flatten())
plt.figure()
plt.title('Class balance')
plt.bar(target_count.index, target_count.values)
plt.show()

min_class = target_count.idxmin()
ind_min_class = target_count.index.get_loc(min_class)

print('Minority class:', target_count[ind_min_class])
print('Majority class:', target_count[1-ind_min_class])
print('Proportion:', round(target_count[ind_min_class] / target_count[1-ind_min_class], 2), ': 1')
Minority class: 564
Majority class: 192
Proportion: 2.94 : 1
In [ ]:
 
In [ ]:
 

As we don't know much about the variables and it's would be almost impossible to analyze the behaviour of all the 755 variables let's select some important ones and do exploratory analysis on them

Let's explore the correlation between those variables and remove some that are very correlated within the classes

In [10]:
def get_important_column_names(df, correlation_threshold=0):
    superclasses = list(dict.fromkeys([c.split('-')[0] for c in df.columns]))
    groups = {c: [] for c in superclasses}
    for c in df.columns:
        groups[c.split('-')[0]].append(c)
    
    important_columns = []
    for i, (group_name, columns) in enumerate(groups.items()):
        corr_matrix = df[columns].corr().abs()                                               # Calculate the correlation within group
        upper = corr_matrix.where(np.triu(np.ones(corr_matrix.shape), k=1).astype(np.bool))  # Select upper triangle of correlation matrix
        to_drop = [column for column in upper.columns if any(upper[column] > correlation_threshold)]
        to_keep = list(set(columns) - set(to_drop))
        important_columns += to_keep
        
        # Plot the correlation
        if i == 0 or i == len(groups.values()) - 1 or len(columns) > 10:
            continue
        fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(12, 30))
        axes[0].set_title(f'In-group correlation for {group_name}')
        sns.heatmap(corr_matrix, ax=axes[0], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
        
        corr_matrix = df[to_keep].corr().abs()
        axes[1].set_title('Correlation between the kept variables')
        sns.heatmap(corr_matrix, ax=axes[1], xticklabels=corr_matrix.columns, yticklabels=corr_matrix.columns, annot=True, cmap='Blues', square=True)
        
        fig.tight_layout()
        plt.show()
    return important_columns


importants = get_important_column_names(data, correlation_threshold=CORRELATION_THRESHOLD)
importants = data[importants]
print(importants.shape)
importants.head()
(756, 193)
Out[10]:
-gender -id Baseline Features-DFA Baseline Features-RPDE Baseline Features-numPulses Baseline Features-PPE Baseline Features-stdDevPeriodPulses Intensity Parameters-minIntensity Formant Frequencies-f1 Formant Frequencies-f2 Formant Frequencies-f4 Formant Frequencies-f3 Bandwidth Parameters-b4 Bandwidth Parameters-b2 Bandwidth Parameters-b1 Bandwidth Parameters-b3 Vocal Fold-GNE_NSR_SEO Vocal Fold-GNE_mean Vocal Fold-VFER_NSR_TKEO Vocal Fold-VFER_SNR_TKEO Vocal Fold-GQ_prc5_95 Vocal Fold-VFER_mean Vocal Fold-IMF_NSR_TKEO Vocal Fold-IMF_SNR_TKEO Vocal Fold-GNE_SNR_SEO Vocal Fold-GNE_SNR_TKEO Vocal Fold-IMF_SNR_SEO Vocal Fold-IMF_NSR_SEO Vocal Fold-GQ_std_cycle_open Vocal Fold-VFER_SNR_SEO MFCC -mean_8th_delta MFCC -mean_4th_delta MFCC -mean_MFCC_0th_coef MFCC -mean_MFCC_9th_coef MFCC -mean_12th_delta MFCC -mean_MFCC_12th_coef MFCC -mean_MFCC_4th_coef MFCC -mean_MFCC_10th_coef MFCC -mean_delta_log_energy MFCC -mean_9th_delta MFCC -mean_MFCC_2nd_coef MFCC -mean_MFCC_5th_coef MFCC -mean_2nd_delta_delta MFCC -mean_MFCC_8th_coef MFCC -mean_MFCC_3rd_coef MFCC -mean_2nd_delta MFCC -mean_1st_delta_delta MFCC -mean_5th_delta_delta MFCC -std_MFCC_2nd_coef MFCC -mean_1st_delta MFCC -mean_7th_delta_delta MFCC -mean_MFCC_7th_coef MFCC -mean_MFCC_1st_coef MFCC -mean_6th_delta MFCC -mean_3rd_delta MFCC -mean_7th_delta MFCC -mean_3rd_delta_delta MFCC -mean_12th_delta_delta MFCC -mean_MFCC_6th_coef MFCC -mean_9th_delta_delta MFCC -mean_delta_delta_log_energy MFCC -mean_11th_delta MFCC -mean_4th_delta_delta MFCC -mean_8th_delta_delta MFCC -mean_11th_delta_delta MFCC -mean_10th_delta_delta MFCC -mean_Log_energy MFCC -mean_MFCC_11th_coef MFCC -mean_10th_delta MFCC -mean_5th_delta MFCC -mean_6th_delta_delta Wavelet Features-Ea Wavelet Features-det_entropy_log_1_coef Wavelet Features-app_entropy_shannon_1_coef TQWT Features-tqwt_entropy_shannon_dec_36 TQWT Features-tqwt_meanValue_dec_24 TQWT Features-tqwt_kurtosisValue_dec_23 TQWT Features-tqwt_skewnessValue_dec_24 TQWT Features-tqwt_meanValue_dec_5 TQWT Features-tqwt_skewnessValue_dec_12 TQWT Features-tqwt_meanValue_dec_31 TQWT Features-tqwt_meanValue_dec_29 TQWT Features-tqwt_skewnessValue_dec_15 TQWT Features-tqwt_medianValue_dec_4 TQWT Features-tqwt_kurtosisValue_dec_21 TQWT Features-tqwt_kurtosisValue_dec_1 TQWT Features-tqwt_medianValue_dec_25 TQWT Features-tqwt_medianValue_dec_1 TQWT Features-tqwt_medianValue_dec_24 TQWT Features-tqwt_kurtosisValue_dec_13 TQWT Features-tqwt_meanValue_dec_13 TQWT Features-tqwt_medianValue_dec_23 TQWT Features-tqwt_meanValue_dec_15 TQWT Features-tqwt_skewnessValue_dec_26 TQWT Features-tqwt_skewnessValue_dec_23 TQWT Features-tqwt_meanValue_dec_26 TQWT Features-tqwt_entropy_shannon_dec_23 TQWT Features-tqwt_meanValue_dec_4 TQWT Features-tqwt_meanValue_dec_12 TQWT Features-tqwt_meanValue_dec_34 TQWT Features-tqwt_medianValue_dec_36 TQWT Features-tqwt_meanValue_dec_16 TQWT Features-tqwt_energy_dec_25 TQWT Features-tqwt_meanValue_dec_19 TQWT Features-tqwt_energy_dec_26 TQWT Features-tqwt_entropy_shannon_dec_24 TQWT Features-tqwt_energy_dec_1 TQWT Features-tqwt_meanValue_dec_7 TQWT Features-tqwt_skewnessValue_dec_16 TQWT Features-tqwt_energy_dec_27 TQWT Features-tqwt_entropy_shannon_dec_28 TQWT Features-tqwt_meanValue_dec_17 TQWT Features-tqwt_medianValue_dec_22 TQWT Features-tqwt_meanValue_dec_10 TQWT Features-tqwt_meanValue_dec_14 TQWT Features-tqwt_meanValue_dec_28 TQWT Features-tqwt_meanValue_dec_30 TQWT Features-tqwt_skewnessValue_dec_8 TQWT Features-tqwt_meanValue_dec_22 TQWT Features-tqwt_medianValue_dec_6 TQWT Features-tqwt_kurtosisValue_dec_7 TQWT Features-tqwt_medianValue_dec_35 TQWT Features-tqwt_medianValue_dec_14 TQWT Features-tqwt_entropy_shannon_dec_31 TQWT Features-tqwt_meanValue_dec_1 TQWT Features-tqwt_entropy_shannon_dec_1 TQWT Features-tqwt_energy_dec_21 TQWT Features-tqwt_energy_dec_18 TQWT Features-tqwt_skewnessValue_dec_13 TQWT Features-tqwt_TKEO_mean_dec_23 TQWT Features-tqwt_skewnessValue_dec_19 TQWT Features-tqwt_medianValue_dec_28 TQWT Features-tqwt_medianValue_dec_34 TQWT Features-tqwt_skewnessValue_dec_14 TQWT Features-tqwt_medianValue_dec_10 TQWT Features-tqwt_medianValue_dec_18 TQWT Features-tqwt_skewnessValue_dec_3 TQWT Features-tqwt_skewnessValue_dec_30 TQWT Features-tqwt_meanValue_dec_25 TQWT Features-tqwt_medianValue_dec_21 TQWT Features-tqwt_medianValue_dec_33 TQWT Features-tqwt_meanValue_dec_32 TQWT Features-tqwt_skewnessValue_dec_21 TQWT Features-tqwt_meanValue_dec_9 TQWT Features-tqwt_medianValue_dec_19 TQWT Features-tqwt_kurtosisValue_dec_25 TQWT Features-tqwt_medianValue_dec_26 TQWT Features-tqwt_kurtosisValue_dec_12 TQWT Features-tqwt_kurtosisValue_dec_8 TQWT Features-tqwt_medianValue_dec_31 TQWT Features-tqwt_skewnessValue_dec_25 TQWT Features-tqwt_meanValue_dec_35 TQWT Features-tqwt_medianValue_dec_11 TQWT Features-tqwt_medianValue_dec_30 TQWT Features-tqwt_medianValue_dec_3 TQWT Features-tqwt_kurtosisValue_dec_26 TQWT Features-tqwt_entropy_log_dec_1 TQWT Features-tqwt_entropy_shannon_dec_26 TQWT Features-tqwt_meanValue_dec_21 TQWT Features-tqwt_skewnessValue_dec_1 TQWT Features-tqwt_medianValue_dec_7 TQWT Features-tqwt_medianValue_dec_27 TQWT Features-tqwt_energy_dec_31 TQWT Features-tqwt_meanValue_dec_11 TQWT Features-tqwt_energy_dec_23 TQWT Features-tqwt_medianValue_dec_13 TQWT Features-tqwt_meanValue_dec_2 TQWT Features-tqwt_energy_dec_22 TQWT Features-tqwt_medianValue_dec_2 TQWT Features-tqwt_medianValue_dec_17 TQWT Features-tqwt_skewnessValue_dec_20 TQWT Features-tqwt_meanValue_dec_6 TQWT Features-tqwt_medianValue_dec_16 TQWT Features-tqwt_skewnessValue_dec_17 TQWT Features-tqwt_skewnessValue_dec_22 TQWT Features-tqwt_medianValue_dec_15 TQWT Features-tqwt_meanValue_dec_27 TQWT Features-tqwt_meanValue_dec_23 TQWT Features-tqwt_medianValue_dec_5 TQWT Features-tqwt_skewnessValue_dec_27 TQWT Features-tqwt_medianValue_dec_32 TQWT Features-tqwt_medianValue_dec_29 TQWT Features-tqwt_entropy_shannon_dec_25 TQWT Features-tqwt_meanValue_dec_3 TQWT Features-tqwt_meanValue_dec_20 TQWT Features-tqwt_medianValue_dec_9 TQWT Features-tqwt_skewnessValue_dec_18 TQWT Features-tqwt_medianValue_dec_20 TQWT Features-tqwt_meanValue_dec_8 TQWT Features-tqwt_medianValue_dec_8 TQWT Features-tqwt_medianValue_dec_12 TQWT Features-tqwt_meanValue_dec_18 class
0 1 0 0.255975 0.605434 -0.846332 0.627229 -0.406982 -0.093823 -0.799003 -1.194645 0.309878 -0.293055 -0.167031 -0.475482 -0.365732 -0.373314 -0.132519 0.229475 0.710764 0.832624 -0.856698 -0.506121 -0.631131 1.581718 -1.101694 -1.027317 -0.064940 0.917362 -0.660592 0.757692 0.056876 -0.311436 -1.557968 -0.007689 -0.581490 -0.904338 1.561630 1.663393 0.060249 -1.866714 0.734690 -0.792140 2.506997 0.252535 -0.105779 -0.241710 -0.631241 0.956759 1.791888 -0.540262 -0.801532 0.355723 1.348982 0.195401 0.230229 1.772607 0.326596 0.109283 -0.391801 0.063720 -0.345813 0.990140 -0.702625 1.159733 -0.260902 -1.014220 -1.200023 0.524088 0.876369 -0.927779 -0.159629 0.221048 -0.818798 0.853208 -0.368425 -0.235925 -0.113192 0.036010 -0.080966 -0.002266 0.023845 -0.009328 0.259204 0.068192 0.743454 -0.281799 -0.084353 0.245021 0.040145 -0.211403 0.019009 -0.026757 -0.041950 -0.021522 -0.010385 -0.352678 0.839439 -0.123260 -0.035035 0.235722 -1.132034 -0.049849 -0.752250 -0.627536 -0.043831 0.137311 -0.176780 0.046224 -0.015908 0.743908 0.393537 0.224582 0.076512 -0.348996 0.300676 -0.790968 0.028155 -0.020104 -0.986481 0.021280 -0.135281 -0.051890 0.512869 -0.430255 -0.381527 -0.465378 -0.443983 0.564902 -0.018268 0.261216 0.025652 4.370905 -0.110823 -0.119010 -0.011723 0.041128 -0.049191 -0.001064 0.137222 0.020162 -0.087215 0.083204 0.054049 0.333811 -0.055508 -0.150644 0.012297 -0.049720 -0.106782 0.043585 0.042828 0.050936 -0.316886 -0.020750 0.016288 -0.312972 -0.652584 0.351425 -0.050961 0.059629 -0.037286 -1.283663 -0.210176 -0.207832 1.266416 -0.020298 -0.654917 0.482100 0.022412 -0.103196 0.010648 -0.229496 -0.028906 0.025408 -0.012561 0.033772 0.729509 -1.080050 0.007831 -0.003832 -0.033521 0.102082 -0.098526 0.037359 0.008421 0.120138 -0.006004 -0.062056 0.033426 0.029037 0.034952 -0.000542 1
1 1 0 -0.080380 0.368171 -0.906804 0.121539 -0.425810 -0.385257 -0.613605 -1.286204 -0.139645 -0.454749 -0.438043 -0.468062 -0.504592 -0.382405 0.808315 -0.200698 1.036097 1.093557 -0.621828 -0.448066 -0.593164 2.023104 -0.807617 -0.290060 -0.284860 0.915624 -0.593031 0.482782 1.025082 -0.275763 -1.242649 0.167903 1.001390 -0.459693 1.486414 1.662677 -0.091195 -0.268806 0.981596 -0.514336 -1.318202 0.385242 -0.408143 0.381999 1.724931 -0.620102 1.092727 -0.398781 -0.270006 0.086087 1.363008 -0.251996 -0.391392 -0.240418 -2.587908 -0.342617 -0.583557 0.694659 1.196445 0.567366 0.274939 -0.238154 2.119947 0.778121 -0.415208 0.632015 -1.170300 0.478627 -1.437247 0.221676 -0.731801 0.886703 -0.370927 0.020515 -0.323911 0.036010 -0.038151 -0.002266 0.223250 0.082064 0.015889 0.085234 0.921001 2.153237 -0.084353 0.043866 0.040145 0.529782 -0.195914 -0.026757 0.165627 -0.021522 -0.010385 0.194832 0.231757 2.106111 -0.291469 0.133500 -1.089307 -0.169880 -0.781774 2.025846 -0.212148 0.016562 -0.170655 -0.384562 -0.015908 0.633902 0.394122 -0.288608 0.076512 0.949923 0.010863 0.887611 -0.060511 -0.020104 -0.114129 -0.039699 0.317783 -0.025019 -0.146577 -0.425428 -0.208399 -0.457701 -0.574469 1.298892 -0.018268 -0.119223 0.012954 0.393476 -0.087512 0.195495 0.261182 0.041128 -0.049191 -0.001064 0.221003 0.020162 -0.045167 -0.042651 0.054049 0.557610 0.028966 -0.149357 0.012297 1.413191 0.068130 -0.016372 0.042828 -0.041045 0.168137 -0.020750 0.016288 -0.313604 -0.631007 0.229163 0.291398 -2.682367 0.059482 -0.954630 -0.208074 -0.213822 0.525484 -0.020298 0.989709 -0.089369 -0.104861 -0.103196 0.010648 0.193967 -0.028906 0.025408 -0.012561 -0.123658 -1.797754 0.799923 0.007831 -0.003842 -0.084311 0.054640 -0.147859 -0.155637 0.003571 0.240998 -0.006004 -0.062056 0.698244 0.029037 0.034952 1.147337 1
2 1 0 -0.349607 0.733124 -0.926961 0.617541 -0.443263 -0.921953 -0.731561 -1.191349 0.376208 -0.520189 -0.641573 -0.538714 -0.172572 -0.510546 0.197193 -0.692703 0.422339 1.058605 -0.583404 -0.545244 -0.736153 4.003505 -0.884386 -0.465205 0.001538 0.314210 -0.172396 0.506729 0.022045 0.000542 -1.572483 0.082772 -0.273929 -0.860722 1.351904 1.995160 0.440891 1.176453 1.175062 -0.887705 1.334294 0.126565 -0.417364 1.287040 0.407768 0.007416 1.507313 0.613065 -0.945898 0.732639 0.828788 -0.055321 -0.358413 -0.941993 -0.299125 -0.975658 -0.366273 0.752679 0.894026 -0.012004 -1.397684 -0.140563 -0.540697 -0.070492 -1.440611 1.016646 0.032044 -0.257692 -1.330928 0.221990 -0.853407 0.899983 -0.371155 0.219733 -0.300517 0.036010 -0.010182 -0.002266 -0.090217 0.186695 -0.162939 -0.011112 0.971317 -0.292368 -0.084353 0.150262 0.040145 -0.062332 -0.038929 -0.026757 0.203883 -0.021522 -0.010385 -0.114331 -0.724568 -0.186635 0.003061 0.144591 -1.121043 -0.191550 -0.785738 -1.336359 -0.198032 -0.301974 -0.168895 -0.276200 -0.015908 0.730766 0.268493 -0.183572 0.076512 0.232059 -0.265562 1.201241 0.034228 -0.020104 0.119340 0.021971 -0.139928 0.046892 0.032118 -0.427842 0.211126 -0.463496 -0.644264 1.196298 -0.018268 -0.423252 0.139120 -0.329577 -0.075865 0.206803 -0.048135 0.041128 -0.049191 -0.001064 0.062595 0.020162 -0.012220 0.000010 0.054049 -0.039654 -0.294906 -0.111110 0.012297 -0.070051 -0.117693 0.063891 0.042828 0.057081 0.131830 -0.020750 0.016288 -0.313275 -0.592637 0.086424 0.169094 -0.057702 -0.254895 0.390444 -0.205315 -0.004084 -0.188282 -0.020298 -0.085315 -0.506335 -0.175702 -0.103196 0.010648 0.195393 -0.028906 0.025408 -0.012561 0.111296 -0.908455 0.549069 0.007831 -0.003655 0.002799 0.058288 -0.195957 -0.033454 -0.166603 0.090685 -0.006004 -0.062056 -0.013747 0.029037 0.034952 0.912083 1
3 0 1 1.381365 0.753132 -1.471212 -1.979250 -0.275134 0.618448 1.277102 -0.189474 1.652669 1.504162 0.029685 -0.233689 0.082429 0.048959 0.163592 -0.736775 0.087438 -0.184703 0.548328 -0.607685 -0.790725 1.276773 1.094189 0.042250 0.188964 0.392449 3.444958 -0.307171 -0.120513 -0.200273 -0.531938 -0.306433 0.381151 0.299058 -0.104788 -0.282386 0.113324 0.038077 1.103908 -0.194769 0.157516 1.281433 0.345236 -0.072779 -1.438052 -1.989069 0.731011 0.415773 0.610224 0.928165 0.272881 -0.138677 0.212379 -0.515913 0.412192 -0.246857 0.627936 1.328221 -0.189092 -0.396261 1.264427 -0.680929 -0.434380 0.320728 0.023381 -0.728989 -1.174580 0.322000 0.376021 -2.658078 1.110116 0.661862 0.454924 -0.045714 0.017462 0.066903 -0.801931 -0.627076 1.050406 0.499617 0.328010 0.521198 -0.520671 -0.132897 0.467421 1.292690 -1.137956 0.549155 1.082992 -0.216791 -0.133199 -0.054476 -0.117422 -1.208295 1.457848 -0.637837 -0.246866 0.133500 0.215615 0.079855 2.817141 -0.041659 0.070121 -1.352592 -0.162840 -0.266584 0.140448 -0.456953 0.273297 -0.262229 -0.086801 0.030688 -2.826245 -0.689370 -4.183251 -0.538834 -0.171707 -0.361434 0.026209 0.403178 0.591502 0.098004 -0.627307 -0.194436 -0.187698 -1.149583 2.905440 0.408539 1.661436 0.107501 -0.170039 -0.007043 -0.215557 -0.680238 0.330943 -0.049954 2.859817 2.118068 0.880194 0.597670 -0.045151 0.812181 0.102027 -0.153615 0.332868 -0.064166 0.108437 0.917431 0.043117 -1.048804 -0.431392 -0.373105 0.908943 -0.306848 0.540534 0.608761 0.722679 0.341115 -0.428017 -0.023640 -0.158587 0.661883 0.218359 -0.393708 2.112868 -0.279101 -0.031619 0.336425 -0.072998 -1.030796 -0.035045 0.654483 -0.937094 -0.247703 0.214129 1.645625 -0.362837 -0.048787 0.418012 0.074695 -4.220440 -1.576139 0.357904 0.594775 0.209373 1.083267 0.865846 -0.016900 0.056851 -0.166842 1
4 0 1 1.397143 0.299925 -0.886646 -2.471353 3.141518 0.656683 1.479140 -0.109442 1.547148 1.624873 -0.185308 -0.193530 0.615206 -0.441688 0.308497 -0.732471 0.075135 -0.382812 0.500908 -0.575305 -0.581813 1.504959 0.882711 0.119167 0.342543 1.510557 2.240122 -0.295263 -0.227440 -0.558904 -0.077246 -0.365373 -0.640436 0.008854 -0.259271 -0.471115 0.605252 0.527297 1.009517 -0.224299 0.650628 1.359972 0.393287 0.649256 1.175197 1.469403 -0.192050 -0.236737 0.593096 1.022776 0.104138 0.987685 -0.275103 -1.186054 -0.446134 0.138322 0.790364 -0.889349 -0.419883 -0.309068 -0.449700 1.564333 0.409910 0.537950 0.592865 -0.939891 -0.518629 0.174254 -0.952772 -3.879973 1.523564 0.389025 0.471262 -1.272283 -0.068861 0.041437 0.577175 0.143193 -0.204280 -0.035470 -0.148124 -0.057430 -0.454120 -0.291582 4.162204 -1.051349 -0.702391 -0.014481 0.438306 0.101993 -0.829044 0.070537 0.254617 -0.400242 1.442954 -0.327851 -0.278308 0.436101 0.212417 0.643013 3.036366 0.721110 0.177492 -1.210257 -0.165128 0.069006 -0.434536 -0.467380 0.159487 0.308515 2.057928 -0.047452 -0.719470 0.015501 0.270264 -0.513541 1.395529 -0.530685 -0.109167 -0.170973 -0.306236 0.052709 -0.213037 -0.212945 -0.121579 -1.213051 1.486680 0.106096 -0.537330 0.005671 0.349077 0.222561 -0.325670 -0.069233 -0.073852 -0.053348 -1.896416 1.802843 -0.192763 -0.102539 0.320527 -0.337586 0.128427 -0.158481 2.596093 -0.148977 -0.058609 0.223099 0.042969 -0.027027 -0.081263 -0.262831 -0.690073 -0.306866 0.494863 0.582756 -1.556033 0.020534 -0.297529 0.014947 -0.169205 0.140773 0.041151 -0.507150 0.916459 -0.394580 -0.399931 -0.256182 -0.337607 0.236028 0.126433 -0.374249 0.072690 -0.429116 0.021379 0.639925 0.008007 0.003313 -0.363328 -0.077639 -4.310307 -0.335860 -0.537344 0.217300 -0.414820 0.639852 -0.363231 0.023357 -0.321913 -0.207403 1
In [11]:
columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    axs[i, j].set_title('Boxplot for %s'%columns[n])
    axs[i, j].boxplot(data[columns[n]].dropna().values)
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
In [12]:
columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    axs[i, j].set_xlabel(columns[n])
    axs[i, j].set_ylabel("probability")
    axs[i, j].hist(data[columns[n]].dropna().values, 'auto')
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
In [13]:
import scipy.stats as _stats 
def compute_known_distributions(x_values, n_bins) -> dict:
    distributions = dict()
    # Gaussian
    mean, sigma = _stats.norm.fit(x_values)
    distributions['Normal(%.1f,%.2f)'%(mean,sigma)] = _stats.norm.pdf(x_values, mean, sigma)
    # LogNorm
  #  sigma, loc, scale = _stats.lognorm.fit(x_values)
  #  distributions['LogNor(%.1f,%.2f)'%(np.log(scale),sigma)] = _stats.lognorm.pdf(x_values, sigma, loc, scale)
    # Exponential
    loc, scale = _stats.expon.fit(x_values)
    distributions['Exp(%.2f)'%(1/scale)] = _stats.expon.pdf(x_values, loc, scale)
    # SkewNorm
   # a, loc, scale = _stats.skewnorm.fit(x_values)
   # distributions['SkewNorm(%.2f)'%a] = _stats.skewnorm.pdf(x_values, a, loc, scale) 
    return distributions

def histogram_with_distributions(ax: plt.Axes, series: pd.Series, var: str):
    values = series.sort_values().values
    n, bins, patches = ax.hist(values, 20, density=True, edgecolor='grey')
    distributions = compute_known_distributions(values, bins)
    func.multiple_line_chart(ax, values, distributions, 'Best fit for %s'%var, var, 'probability')

columns = importants.select_dtypes(include='number').columns
rows, cols = func.choose_grid(len(columns))
plt.figure()
fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
i, j = 0, 0
for n in range(len(columns)):
    histogram_with_distributions(axs[i, j], data[columns[n]].dropna(), columns[n])
    i, j = (i + 1, 0) if (n+1) % cols == 0 else (i, j + 1)
fig.tight_layout()
plt.show()
<Figure size 432x288 with 0 Axes>
In [ ]:
 
In [ ]:
 

Multi-Variate Analysis

Again, as the dataset is too large in terms of the number of columns, we will concentrate on the variables that are important based the previous findings
In [14]:
columns = importants.select_dtypes(include='number').columns

if len(columns) < 30:
    rows, cols = len(columns)-1, len(columns)-1
    plt.figure()
    fig, axs = plt.subplots(rows, cols, figsize=(cols*4, rows*4), squeeze=False)
    for i in range(len(columns)):
        var1 = columns[i]
        for j in range(i+1, len(columns)):
            var2 = columns[j]
            axs[i, j-1].set_title("%s x %s"%(var1,var2))
            axs[i, j-1].set_xlabel(var1)
            axs[i, j-1].set_ylabel(var2)
            axs[i, j-1].scatter(data[var1], data[var2])
    fig.tight_layout()
    plt.show()
In [15]:
if len(columns) < 30:
    fig = plt.figure(figsize=[12, 12])
    corr_mtx = importants.corr()
    sns.heatmap(corr_mtx, xticklabels=corr_mtx.columns, yticklabels=corr_mtx.columns, annot=True, cmap='Blues')
    plt.title('Correlation analysis')
    plt.show()
In [ ]:
 
In [ ]:
 

Classification

In [16]:
from sklearn import metrics
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB, MultinomialNB, BernoulliNB
from sklearn.utils.class_weight import compute_class_weight

0. Data split and class weight calculation

In [17]:
X = importants.loc[:, ~importants.columns.isin(['class'])]
y = importants.loc[:, importants.columns.isin(['class'])]
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)
class_weight = compute_class_weight(class_weight='balanced', classes=np.unique(y_train), y=y_train.values.flatten())
print('Class weights:', class_weight)
Class weights: [2.01908397 0.66457286]

1. Naive bayes

In [18]:
clf = GaussianNB()
clf.fit(X_train, y_train.values.flatten())
y_pred = clf.predict(X_test)
print(metrics.classification_report(y_test, y_pred))
print('Accuracy:', metrics.accuracy_score(y_test, y_pred))
print('ROC AUC:', metrics.roc_auc_score(y_test, y_pred))
cnf_mtx = metrics.confusion_matrix(y_test, y_pred)
sns.heatmap(cnf_mtx, annot=True, cmap='Blues', fmt='g')
              precision    recall  f1-score   support

           0       0.58      0.62      0.60        61
           1       0.86      0.84      0.85       166

   micro avg       0.78      0.78      0.78       227
   macro avg       0.72      0.73      0.73       227
weighted avg       0.78      0.78      0.78       227

Accuracy: 0.7797356828193832
ROC AUC: 0.7301501086312463
Out[18]:
<matplotlib.axes._subplots.AxesSubplot at 0x21faf0050>

2. KNN

In [19]:
from sklearn.neighbors import KNeighborsClassifier

nvalues = [1, 3, 5, 7, 9, 11, 13, 15, 17, 19]
dist = ['manhattan', 'euclidean', 'chebyshev']
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)

acc, auc, precision = {}, {}, {}
for d in dist:
    acc[d], auc[d], precision[d] = [], [], []
    for n in nvalues:
        knn = KNeighborsClassifier(n_neighbors=n, metric=d)
        knn.fit(X_train, y_train.values.flatten())
        y_pred = knn.predict(X_test)
        acc[d].append(metrics.accuracy_score(y_test, y_pred))
        auc[d].append(metrics.roc_auc_score(y_test, y_pred))
        precision[d].append(metrics.precision_score(y_test, y_pred))

plt.figure()
func.multiple_line_chart(axs[0, 0], nvalues, acc, 'KNN variants', 'n', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nvalues, auc, 'KNN variants', 'n', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nvalues, precision, 'KNN variants', 'n', 'Precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
<Figure size 432x288 with 0 Axes>

3. Decision Tree

In [20]:
min_samples_leaf = [.05, .025, .01, .0075, .005, .0025, .001]
max_depths = [5, 10, 25, 50]
criteria = ['entropy', 'gini']

plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(criteria)):
    f = criteria[k]
    acc, auc, precision = {}, {}, {}

    for d in max_depths:
        acc[d], auc[d], precision[d] = [], [], []
        for n in min_samples_leaf:
            tree = DecisionTreeClassifier(min_samples_leaf=n, max_depth=d, criterion=f, class_weight='balanced')
            tree.fit(X_train, y_train)
            y_pred = tree.predict(X_test)
            acc[d].append(metrics.accuracy_score(y_test, y_pred))
            auc[d].append(metrics.roc_auc_score(y_test, y_pred))
            precision[d].append(metrics.precision_score(y_test, y_pred))
    func.multiple_line_chart(axs[0, k], min_samples_leaf, acc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'accuracy', percentage=True)
    func.multiple_line_chart(axs[1, k], min_samples_leaf, auc, 'Decision Trees with %s criteria'%f, 'nr estimators', 'ROC AUC', percentage=True)
    func.multiple_line_chart(axs[2, k], min_samples_leaf, precision, 'Decision Trees with %s criteria'%f, 'nr estimators', 'precision', percentage=True)
    
plt.show()
<Figure size 432x288 with 0 Axes>

4. Random Forest

In [21]:
n_estimators = [5, 10, 25, 50, 75, 100, 150, 200, 250, 300]
max_depths = [5, 10, 25, 50]
max_features = ['sqrt', 'log2']

plt.figure()
fig, axs = plt.subplots(3, 2, figsize=(16, 16), squeeze=False)
for k in range(len(max_features)):
    f = max_features[k]
    acc, auc, precision = {}, {}, {}

    for d in max_depths:
        acc[d], auc[d], precision[d] = [], [], []
        for n in n_estimators:
            rf = RandomForestClassifier(n_estimators=n, max_depth=d, max_features=f, class_weight='balanced')
            rf.fit(X_train, y_train.values.flatten())
            y_pred = rf.predict(X_test)
            acc[d].append(metrics.accuracy_score(y_test, y_pred))
            auc[d].append(metrics.roc_auc_score(y_test, y_pred))
            precision[d].append(metrics.precision_score(y_test, y_pred))
    func.multiple_line_chart(axs[0, k], n_estimators, acc, 'Random Forests with %s features'%f, 'nr estimators', 'accuracy', percentage=True)
    func.multiple_line_chart(axs[1, k], n_estimators, auc, 'Random Forests with %s features'%f, 'nr estimators', 'ROC AUC', percentage=True)
    func.multiple_line_chart(axs[2, k], n_estimators, precision, 'Random Forests with %s features'%f, 'nr estimators', 'precision', percentage=True)
    
plt.show()
<Figure size 432x288 with 0 Axes>

5. xgboost

In [22]:
import xgboost as xgb
In [23]:
D_train = xgb.DMatrix(X_train, label=y_train)
D_test = xgb.DMatrix(X_test, label=y_test)
In [24]:
nb_steps = list(range(1, 20))
max_depth = [3, 5, 7]
plt.figure()
fig, axs = plt.subplots(1, 3, figsize=(16, 4), squeeze=False)

acc, auc, precision = {}, {}, {}
for d in max_depth:
    acc[d], auc[d], precision[d] = [], [], []
    for n in nb_steps:
        param = {
            'eta': 0.3, 
            'max_depth': d,  
            'objective': 'multi:softprob',  
            'num_class': 2
        } 
        model = xgb.train(param, D_train, n)
        preds = model.predict(D_test)
        y_pred = np.asarray([np.argmax(line) for line in preds])

        acc[d].append(metrics.accuracy_score(y_test, y_pred))
        auc[d].append(metrics.roc_auc_score(y_test, y_pred))
        precision[d].append(metrics.precision_score(y_test, y_pred))

plt.figure()
func.multiple_line_chart(axs[0, 0], nb_steps, acc, 'xgboost', 'steps', 'accuracy', percentage=True)
func.multiple_line_chart(axs[0, 1], nb_steps, auc, 'xgboost', 'steps', 'ROC AUC', percentage=True)
func.multiple_line_chart(axs[0, 2], nb_steps, precision, 'xgboost', 'steps', 'Precision', percentage=True)
plt.show()
<Figure size 432x288 with 0 Axes>
<Figure size 432x288 with 0 Axes>
In [ ]:
 

Export the notebook

In [ ]:
import os
os.system(f'jupyter nbconvert --output html_notebooks/project-threshold-{CORRELATION_THRESHOLD}.html --to html Project1.ipynb')
In [ ]: